Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-27T04:11:57.201524Z
Paper Citation Record · LEDGER
Koshur Diacritizer: A Byte-Level Sequence-to-Sequence Model for Kashmiri Diacritic Restoration
As of 21 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 1 inbound Pith citation observation for arXiv:2606.15883.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T09:19:11.131168Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T09:59:45.227262Z
Reference resolution
9 of 9 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 62bed442-6d9c-4069-a9f6-adf151ce8765 · outbound
This paper cites Maximum entropy based restoration of Arabic diacritics,.
Koshur Diacritizer: A Byte-Level Sequence-to-Sequence Model for Kashmiri Diacritic Restoration Maximum entropy based restoration of Arabic diacritics,
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T04:11:57.201524Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1cc8fca6-a44d-4ba8-91b5-747ec7f7367b · outbound
This paper cites Automatic diacritization of Arabic text using recurrent neural networks,.
Koshur Diacritizer: A Byte-Level Sequence-to-Sequence Model for Kashmiri Diacritic Restoration Automatic diacritization of Arabic text using recurrent neural networks,
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T04:11:57.201524Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 680039c5-87b2-4174-bfa7-01236650ab00 · outbound
This paper cites Arabic text diacritization using deep neural networks,.
Koshur Diacritizer: A Byte-Level Sequence-to-Sequence Model for Kashmiri Diacritic Restoration Arabic text diacritization using deep neural networks,
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T04:11:57.201524Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a456284-b1ac-4334-bb59-2b5a0da13e5c · outbound
This paper cites Nakdan: Professional Hebrew diacritizer,.
Koshur Diacritizer: A Byte-Level Sequence-to-Sequence Model for Kashmiri Diacritic Restoration Nakdan: Professional Hebrew diacritizer,
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T04:11:57.201524Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 641158c6-377d-4798-bdd9-fe8877815735 · outbound
This paper cites Pointwise approach for Vietnamese diacritics restoration,.
Koshur Diacritizer: A Byte-Level Sequence-to-Sequence Model for Kashmiri Diacritic Restoration Pointwise approach for Vietnamese diacritics restoration,
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T04:11:57.201524Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84c7d6d1-3146-4eb1-8841-59cf2be2c0b5 · outbound
This paper cites ByT5: Towards a token-free future with pre-trained byte-to-byte models,.
Koshur Diacritizer: A Byte-Level Sequence-to-Sequence Model for Kashmiri Diacritic Restoration ByT5: Towards a token-free future with pre-trained byte-to-byte models,
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T04:11:57.201524Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 050dd622-38d9-4da2-8b2a-7abb64a09a0d · outbound
This paper cites CANINE: Pre-training an efficient tokenization-free encoder for language representation,.
Koshur Diacritizer: A Byte-Level Sequence-to-Sequence Model for Kashmiri Diacritic Restoration CANINE: Pre-training an efficient tokenization-free encoder for language representation,
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T04:11:57.201524Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25f66313-19c1-4983-b673-85b367b35bb7 · outbound
This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.
Koshur Diacritizer: A Byte-Level Sequence-to-Sequence Model for Kashmiri Diacritic Restoration Exploring the limits of transfer learning with a unified text-to-text transformer,
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T04:11:57.201524Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 693fb7bc-d838-474e-accf-c74c2b8b2a68 · outbound
This paper cites KS-LIT-3M: A 3.1 Million Word Kashmiri Text Dataset for LLM Pretraining.
Koshur Diacritizer: A Byte-Level Sequence-to-Sequence Model for Kashmiri Diacritic Restoration KS-LIT-3M: A 3.1 Million Word Kashmiri Text Dataset for LLM Pretraining
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T17:28:44.266889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
Observation 7aa132d7-2533-4633-a8ec-d5d7218179ce · inbound
Koshur Pixel: a large-scale synthetic ocr dataset for kashmiri cites this paper.
Koshur Pixel: a large-scale synthetic ocr dataset for kashmiri Koshur Diacritizer: A Byte-Level Sequence-to-Sequence Model for Kashmiri Diacritic Restoration
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T09:59:45.228752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.