Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:59:10.353069Z
Paper Citation Record · LEDGER
State Space Models for Extractive Summarization in Low Resource Scenarios
As of 18 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2501.14673.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
8 of 8 outbound references displayed
- verified exact2
- verified fuzzy1
- unresolved1
- parse uncertain0
- malformed identifier2
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 24b752b0-30fe-49f0-bb36-b143f4328308 · outbound
This paper cites Meta-Transfer Learning for Low-Resource Abstractive Summarization.
State Space Models for Extractive Summarization in Low Resource Scenarios Meta-Transfer Learning for Low-Resource Abstractive Summarization
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-10T14:59:10.474774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 427b926f-1ec7-4fd7-a507-3670296d32e6 · outbound
This paper cites On Optimal Transformer Depth for Low-Resource Language Translation.
State Space Models for Extractive Summarization in Low Resource Scenarios On Optimal Transformer Depth for Low-Resource Language Translation
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-10T14:59:10.452670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ecb3e246-88b8-4a1a-aa91-393f446b108c · outbound
This paper cites In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7871 –7880, Online.
State Space Models for Extractive Summarization in Low Resource Scenarios In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7871 –7880, Online
Reference 5
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-10T14:59:10.332817Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7333819e-54f2-4e80-ac4b-00a6d5945bd4 · outbound
This paper cites In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 4143 –4159, Online.
State Space Models for Extractive Summarization in Low Resource Scenarios In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 4143 –4159, Online
Reference 7
- Resolution
- verified exact
- doi, observed 2026-08-10T14:59:10.404451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6f45fd7e-5471-4bd8-9418-631196f7122c · outbound
This paper cites In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 5892 –5904, Online.
State Space Models for Extractive Summarization in Low Resource Scenarios In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 5892 –5904, Online
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:59:10.491317Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ea56bcfe-058e-4a58-bb36-d2b507295371 · outbound
This paper cites an unresolved cited work.
State Space Models for Extractive Summarization in Low Resource Scenarios Unresolved cited work
Reference 2019
- Resolution
- verified exact
- doi, observed 2026-08-10T14:59:10.388074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d17dbc69-db53-49ac-a474-89ee7d4b4c37 · outbound
This paper cites an unresolved cited work.
State Space Models for Extractive Summarization in Low Resource Scenarios Unresolved cited work
Reference 2021
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T14:59:10.507660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ee1e92d6-a620-4247-9c7d-1865650af4d8 · outbound
This paper cites Poincar\'e Embeddings for Learning Hierarchical Representations.
State Space Models for Extractive Summarization in Low Resource Scenarios Poincar\'e Embeddings for Learning Hierarchical Representations
Reference 2022
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-10T14:59:10.338045Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.