{"as_of":"2026-08-17T16:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b5f28d29225e9951d600ee95cdfe9847cd376f98d7e40d4b29429060ebc1fc63","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:55:26.905858Z","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":"2026-07-03T08:07:45.289034Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.13807","last_updated":"2024-01-07T22:32:39Z","snapshot_observed_at":"2026-08-16T14:50:15.802298Z","submitted_at":"2023-10-20T20:42:00Z","title":"Learning to (Learn at Test Time)","version":2},"cited_work":{"arxiv_id":"2310.13807","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.13807","snapshot_observed_at":"2026-07-03T08:07:45.289034Z","title":"Learning to (learn at test time)","venue":null,"work_id":"5f03d31f-5c8e-4b34-8371-7c3aa78e8ea9","year":2023},"citing_paper":{"arxiv_id":"2406.07496","last_updated":"2024-06-11T17:32:21Z","snapshot_observed_at":"2026-08-13T02:15:58.634561Z","submitted_at":"2024-06-11T17:32:21Z","title":"TextGrad: Automatic \"Differentiation\" via Text","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-13T11:27:58.098484Z"},"links":{"cited_paper":"/paper/2310.13807","citing_paper":"/paper/2406.07496"},"observation_digest":"sha256:90f2bca66e0744d87d31b820b7bbe214431eb624c6275f9e6f5deb69ad168747","observation_id":"17ed59ff-04d1-481c-89a6-a587fee4706b","resolution":{"observed_at":"2026-05-13T11:27:58.244785Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.13807","last_updated":"2024-01-07T22:32:39Z","snapshot_observed_at":"2026-08-16T14:50:15.802298Z","submitted_at":"2023-10-20T20:42:00Z","title":"Learning to (Learn at Test Time)","version":2},"cited_work":{"arxiv_id":"2310.13807","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.13807","snapshot_observed_at":"2026-07-03T08:07:45.289034Z","title":"Learning to (learn at test time)","venue":null,"work_id":"5f03d31f-5c8e-4b34-8371-7c3aa78e8ea9","year":2023},"citing_paper":{"arxiv_id":"2407.04620","last_updated":"2025-08-31T18:32:59Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-07-05T16:23:20Z","title":"Learning to (Learn at Test Time): RNNs with Expressive Hidden States","version":4},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-15T05:20:12.134340Z"},"links":{"cited_paper":"/paper/2310.13807","citing_paper":"/paper/2407.04620"},"observation_digest":"sha256:c035994a99f954976bc93aa1b30e8fece6c55f24f68d3f2ff36db35dd0ed9e03","observation_id":"5ec828bd-1430-4813-a2d1-4632c247fb90","resolution":{"observed_at":"2026-05-15T05:20:12.272079Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.13807","last_updated":"2024-01-07T22:32:39Z","snapshot_observed_at":"2026-08-16T14:50:15.802298Z","submitted_at":"2023-10-20T20:42:00Z","title":"Learning to (Learn at Test Time)","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.13807","snapshot_observed_at":"2026-08-15T20:55:26.905858Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.11654","last_updated":"2025-05-22T04:43:06Z","snapshot_observed_at":"2026-08-16T13:27:18.033245Z","submitted_at":"2025-05-16T19:38:06Z","title":"UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T20:55:26.905858Z"},"links":{"cited_paper":"/paper/2310.13807","citing_paper":"/paper/2505.11654"},"observation_digest":"sha256:76de811e09e613c8efc5930b3f16d6c5f3307671d8ec1ef58c82bdf699aef05f","observation_id":"365d0e5f-079e-4b1c-90ca-5370345dae00","resolution":{"observed_at":"2026-08-15T20:55:26.905858Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.13807","last_updated":"2024-01-07T22:32:39Z","snapshot_observed_at":"2026-08-16T14:50:15.802298Z","submitted_at":"2023-10-20T20:42:00Z","title":"Learning to (Learn at Test Time)","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.13807","snapshot_observed_at":"2026-08-15T20:38:16.990116Z","title":"Learning to (learn at test time).arXiv preprint arXiv:2310.13807, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.12392","last_updated":"2025-05-26T05:28:49Z","snapshot_observed_at":"2026-08-17T13:33:13.590113Z","submitted_at":"2025-05-18T12:37:56Z","title":"SLOT: Sample-specific Language Model Optimization at Test-time","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T20:38:16.990116Z"},"links":{"cited_paper":"/paper/2310.13807","citing_paper":"/paper/2505.12392"},"observation_digest":"sha256:9a502db000721fe1e0bef49fa87029830a1310dc59b3c264087560f52f78fbc3","observation_id":"5dd43cf7-598d-4a59-8e54-d04d7a48a18f","resolution":{"observed_at":"2026-08-15T20:38:16.990116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.13807","last_updated":"2024-01-07T22:32:39Z","snapshot_observed_at":"2026-08-16T14:50:15.802298Z","submitted_at":"2023-10-20T20:42:00Z","title":"Learning to (Learn at Test Time)","version":2},"cited_work":{"arxiv_id":"2310.13807","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.13807","snapshot_observed_at":"2026-07-03T08:07:45.289034Z","title":"Learning to (learn at test time)","venue":null,"work_id":"5f03d31f-5c8e-4b34-8371-7c3aa78e8ea9","year":2023},"citing_paper":{"arxiv_id":"2601.16175","last_updated":"2026-02-05T18:03:03Z","snapshot_observed_at":"2026-08-01T10:41:29.420510Z","submitted_at":"2026-01-22T18:24:00Z","title":"Learning to Discover at Test Time","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-16T05:16:04.001700Z"},"links":{"cited_paper":"/paper/2310.13807","citing_paper":"/paper/2601.16175"},"observation_digest":"sha256:2b44731754824cdbe62c8bbe4a7c54d896fba0e29f7c81a12af9451b1fbabc6e","observation_id":"3b83103e-1e9f-461b-b9a5-dec1486b9aa3","resolution":{"observed_at":"2026-05-16T05:16:04.218082Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.13807","last_updated":"2024-01-07T22:32:39Z","snapshot_observed_at":"2026-08-16T14:50:15.802298Z","submitted_at":"2023-10-20T20:42:00Z","title":"Learning to (Learn at Test Time)","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.13807","snapshot_observed_at":"2026-08-03T03:16:07.222688Z","title":"Learning to (learn at test time).arXiv preprint arXiv:2310.13807,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.09075","last_updated":"2026-06-03T09:18:46Z","snapshot_observed_at":"2026-08-13T11:59:16.577265Z","submitted_at":"2026-02-09T16:09:51Z","title":"Learning to Remember, Learn, and Forget in Attention-Based Models","version":4},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-03T03:16:07.222688Z"},"links":{"cited_paper":"/paper/2310.13807","citing_paper":"/paper/2602.09075"},"observation_digest":"sha256:cfdf21a5503a93a20458866b23ef10c5262fc7e81eb42c90ea446c18f6b425a1","observation_id":"465aed49-f985-4b24-9cb0-7df9be896662","resolution":{"observed_at":"2026-08-03T03:16:07.222688Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.13807","last_updated":"2024-01-07T22:32:39Z","snapshot_observed_at":"2026-08-16T14:50:15.802298Z","submitted_at":"2023-10-20T20:42:00Z","title":"Learning to (Learn at Test Time)","version":2},"cited_work":{"arxiv_id":"2310.13807","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.13807","snapshot_observed_at":"2026-07-03T08:07:45.289034Z","title":"Learning to (learn at test time)","venue":null,"work_id":"5f03d31f-5c8e-4b34-8371-7c3aa78e8ea9","year":2023},"citing_paper":{"arxiv_id":"2604.21100","last_updated":"2026-04-22T21:38:25Z","snapshot_observed_at":"2026-08-02T18:50:20.662385Z","submitted_at":"2026-04-22T21:38:25Z","title":"Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-05-10T00:19:24.366922Z"},"links":{"cited_paper":"/paper/2310.13807","citing_paper":"/paper/2604.21100"},"observation_digest":"sha256:18097c941078771ff96bf75ef070c966b0978adef0ce7c2e4fc9dba26f2456c8","observation_id":"311b67f4-b193-459b-818d-f9f1ab293636","resolution":{"observed_at":"2026-05-10T00:19:46.613984Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.13807","last_updated":"2024-01-07T22:32:39Z","snapshot_observed_at":"2026-08-16T14:50:15.802298Z","submitted_at":"2023-10-20T20:42:00Z","title":"Learning to (Learn at Test Time)","version":2},"cited_work":{"arxiv_id":"2310.13807","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.13807","snapshot_observed_at":"2026-07-03T08:07:45.289034Z","title":"Learning to (learn at test time)","venue":null,"work_id":"5f03d31f-5c8e-4b34-8371-7c3aa78e8ea9","year":2023},"citing_paper":{"arxiv_id":"2605.16981","last_updated":"2026-05-16T13:00:49Z","snapshot_observed_at":"2026-08-16T03:46:44.249184Z","submitted_at":"2026-05-16T13:00:49Z","title":"Rethinking the State Update Gate for Long-Sequence Recurrent 3D Reconstruction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-19T20:13:39.983216Z"},"links":{"cited_paper":"/paper/2310.13807","citing_paper":"/paper/2605.16981"},"observation_digest":"sha256:d9cca8d7e5aa967a40e1ea224794c2ad68a1a78540e7fed3e51b378d5b7d88fe","observation_id":"787e484a-b38f-492a-8660-392a617c9d99","resolution":{"observed_at":"2026-05-19T20:17:45.642857Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.13807","last_updated":"2024-01-07T22:32:39Z","snapshot_observed_at":"2026-08-16T14:50:15.802298Z","submitted_at":"2023-10-20T20:42:00Z","title":"Learning to (Learn at Test Time)","version":2},"cited_work":{"arxiv_id":"2310.13807","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.13807","snapshot_observed_at":"2026-07-03T08:07:45.289034Z","title":"Learning to (learn at test time)","venue":null,"work_id":"5f03d31f-5c8e-4b34-8371-7c3aa78e8ea9","year":2023},"citing_paper":{"arxiv_id":"2606.11437","last_updated":"2026-06-09T20:48:48Z","snapshot_observed_at":"2026-08-13T04:27:41.134413Z","submitted_at":"2026-06-09T20:48:48Z","title":"The Power of Test-Time Training for Approximate Sampling","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-27T11:07:47.543592Z"},"links":{"cited_paper":"/paper/2310.13807","citing_paper":"/paper/2606.11437"},"observation_digest":"sha256:ff713a1d1faf93dac7fa317642436c60e727d53d6f06254ff4e3a7f775605379","observation_id":"6a7fa037-fb98-4923-81d5-74eb588972d6","resolution":{"observed_at":"2026-07-03T08:07:45.290443Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2310.13807/citation-record","integrity":"/paper/2310.13807/integrity","json":"/paper/2310.13807/citation-record.json","paper":"/paper/2310.13807"},"outbound":[],"paper":{"arxiv_id":"2310.13807","last_updated":"2024-01-07T22:32:39Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T14:50:15.802298Z","submitted_at":"2023-10-20T20:42:00Z","title":"Learning to (Learn at Test Time)"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2310.13807."}