{"as_of":"2026-08-11T01:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:90a8b504b6c1e194e7b48b7d199cdf24c38ca1d869b1b209647b14d7196d79c7","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T20:26:16.826008Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":12,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.02020","last_updated":"2024-01-04T01:33:33Z","snapshot_observed_at":"2026-08-07T09:55:37.268497Z","submitted_at":"2024-01-04T01:33:33Z","title":"Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.02020","snapshot_observed_at":"2026-08-10T20:26:16.826008Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.08645","last_updated":"2025-04-12T04:14:59Z","snapshot_observed_at":"2026-08-10T20:18:37.740030Z","submitted_at":"2025-01-15T08:19:13Z","title":"Learnable Sparsification of Die-to-Die Communication via Spike-Based Encoding","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-10T20:26:16.826008Z"},"links":{"cited_paper":"/paper/2401.02020","citing_paper":"/paper/2501.08645"},"observation_digest":"sha256:527cd95a8361dca2b6173b9da46e0a444b1a8e2b2fbd83537d1d4466ed0bde23","observation_id":"8f2b2c85-08a4-404e-8d93-39cc66a41c36","resolution":{"observed_at":"2026-08-10T20:26:16.826008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.02020","last_updated":"2024-01-04T01:33:33Z","snapshot_observed_at":"2026-08-07T09:55:37.268497Z","submitted_at":"2024-01-04T01:33:33Z","title":"Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.02020","snapshot_observed_at":"2026-08-09T13:00:09.315127Z","title":"Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.10421","last_updated":"2025-02-04T11:01:13Z","snapshot_observed_at":"2026-08-09T12:53:17.852052Z","submitted_at":"2025-02-04T11:01:13Z","title":"DRiVE: Dynamic Recognition in VEhicles using snnTorch","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T13:00:09.315127Z"},"links":{"cited_paper":"/paper/2401.02020","citing_paper":"/paper/2502.10421"},"observation_digest":"sha256:a94fa1890788f8d70275e60b5d485bd31c250b10dcf241a896907e6adeb469fb","observation_id":"4e63512c-c3dc-45d1-9daf-2447b2550ddd","resolution":{"observed_at":"2026-08-09T13:00:09.315127Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.02020","last_updated":"2024-01-04T01:33:33Z","snapshot_observed_at":"2026-08-07T09:55:37.268497Z","submitted_at":"2024-01-04T01:33:33Z","title":"Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket","version":1},"cited_work":{"arxiv_id":"2401.02020","doi":"10.48550/arxiv.2401.02020","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.02020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Spikformer v2: Join the high accuracy club on imagenet with an snn ticket","venue":"arXiv (Cornell University)","work_id":"fad84ebb-4bf3-4277-8a5c-c524541b725e","year":2024},"citing_paper":{"arxiv_id":"2505.17674","last_updated":"2026-08-04T17:10:18Z","snapshot_observed_at":"2026-08-07T23:11:14.814469Z","submitted_at":"2025-05-23T09:41:10Z","title":"SVL: Empowering Spiking Neural Networks for Efficient 3D Open-World Understanding","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-22T02:12:29.058875Z"},"links":{"cited_paper":"/paper/2401.02020","citing_paper":"/paper/2505.17674"},"observation_digest":"sha256:4e13c2762041fe69b7b147fced8a85c94257e7a2e5d03ef02513628ff5268792","observation_id":"6cab2ef9-bc19-4d4f-b397-c40ce1d37960","resolution":{"observed_at":"2026-05-22T02:14:31.417382Z","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":"2401.02020","last_updated":"2024-01-04T01:33:33Z","snapshot_observed_at":"2026-08-07T09:55:37.268497Z","submitted_at":"2024-01-04T01:33:33Z","title":"Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket","version":1},"cited_work":{"arxiv_id":"2401.02020","doi":"10.48550/arxiv.2401.02020","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.02020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Spikformer v2: Join the high accuracy club on imagenet with an snn ticket","venue":"arXiv (Cornell University)","work_id":"fad84ebb-4bf3-4277-8a5c-c524541b725e","year":2024},"citing_paper":{"arxiv_id":"2604.15769","last_updated":"2026-04-17T07:15:53Z","snapshot_observed_at":"2026-08-10T21:50:58.471739Z","submitted_at":"2026-04-17T07:15:53Z","title":"Closing the Theory-Practice Gap in Spiking Transformers via Effective Dimension","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T09:23:35.108010Z"},"links":{"cited_paper":"/paper/2401.02020","citing_paper":"/paper/2604.15769"},"observation_digest":"sha256:abaa1ffc3f9e0d07446c8b27b19dd48468b6e976187203905bee18b09b8aba88","observation_id":"888fa27d-04f9-4283-a639-60737c20f2ff","resolution":{"observed_at":"2026-05-10T09:23:36.564133Z","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":"2401.02020","last_updated":"2024-01-04T01:33:33Z","snapshot_observed_at":"2026-08-07T09:55:37.268497Z","submitted_at":"2024-01-04T01:33:33Z","title":"Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket","version":1},"cited_work":{"arxiv_id":"2401.02020","doi":"10.48550/arxiv.2401.02020","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.02020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Spikformer v2: Join the high accuracy club on imagenet with an snn ticket","venue":"arXiv (Cornell University)","work_id":"fad84ebb-4bf3-4277-8a5c-c524541b725e","year":2024},"citing_paper":{"arxiv_id":"2605.09276","last_updated":"2026-05-10T02:54:54Z","snapshot_observed_at":"2026-07-06T23:21:26.017420Z","submitted_at":"2026-05-10T02:54:54Z","title":"Uncertainty-Aware Token Importance Estimation in Spiking Transformers","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-12T04:31:33.656789Z"},"links":{"cited_paper":"/paper/2401.02020","citing_paper":"/paper/2605.09276"},"observation_digest":"sha256:acb4f5968dc443443ec455e18a1e8ed17edf78b8eb0cfba4c714d04a4de28dc2","observation_id":"c0ff016a-09ee-4aba-80a9-22558caeab49","resolution":{"observed_at":"2026-05-12T06:11:24.253643Z","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":"2401.02020","last_updated":"2024-01-04T01:33:33Z","snapshot_observed_at":"2026-08-07T09:55:37.268497Z","submitted_at":"2024-01-04T01:33:33Z","title":"Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket","version":1},"cited_work":{"arxiv_id":"2401.02020","doi":"10.48550/arxiv.2401.02020","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.02020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Spikformer v2: Join the high accuracy club on imagenet with an snn ticket","venue":"arXiv (Cornell University)","work_id":"fad84ebb-4bf3-4277-8a5c-c524541b725e","year":2024},"citing_paper":{"arxiv_id":"2605.13887","last_updated":"2026-05-12T02:08:08Z","snapshot_observed_at":"2026-08-08T19:16:17.990563Z","submitted_at":"2026-05-12T02:08:08Z","title":"Breaking Global Self-Attention Bottlenecks in Transformer-based Spiking Neural Networks with Local Structure-Aware Self-Attention","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-15T06:17:49.425564Z"},"links":{"cited_paper":"/paper/2401.02020","citing_paper":"/paper/2605.13887"},"observation_digest":"sha256:3018cb0211ccfe33b32a77d1ffaa062137ce13e912a1d8426f50347c6042affd","observation_id":"d409c248-dc40-4024-93e0-965d7fe17ea9","resolution":{"observed_at":"2026-05-15T06:19:49.653698Z","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":"2401.02020","last_updated":"2024-01-04T01:33:33Z","snapshot_observed_at":"2026-08-07T09:55:37.268497Z","submitted_at":"2024-01-04T01:33:33Z","title":"Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket","version":1},"cited_work":{"arxiv_id":"2401.02020","doi":"10.48550/arxiv.2401.02020","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.02020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Spikformer v2: Join the high accuracy club on imagenet with an snn ticket","venue":"arXiv (Cornell University)","work_id":"fad84ebb-4bf3-4277-8a5c-c524541b725e","year":2024},"citing_paper":{"arxiv_id":"2606.12895","last_updated":"2026-06-11T04:54:07Z","snapshot_observed_at":"2026-08-05T13:05:21.202083Z","submitted_at":"2026-06-11T04:54:07Z","title":"LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-06-27T07:26:58.608421Z"},"links":{"cited_paper":"/paper/2401.02020","citing_paper":"/paper/2606.12895"},"observation_digest":"sha256:2875fd958bbb6d2d33019a4856ae8b2307fbeedfefcf8432e92518970b43d177","observation_id":"166ced12-60eb-4804-abda-9a63a4aa3266","resolution":{"observed_at":"2026-07-03T13:48:21.532581Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2401.02020/citation-record","integrity":"/paper/2401.02020/integrity","json":"/paper/2401.02020/citation-record.json","paper":"/paper/2401.02020"},"outbound":[],"paper":{"arxiv_id":"2401.02020","last_updated":"2024-01-04T01:33:33Z","latest_version":1,"primary_category":"cs.NE","snapshot_observed_at":"2026-08-07T09:55:37.268497Z","submitted_at":"2024-01-04T01:33:33Z","title":"Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket"},"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 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2401.02020."}