Paper Citation Record · LEDGER

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation

As of 20 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2506.14203.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.14203 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:24:39.456815Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy5
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d806af45-8a5d-4608-a9b0-3cd4ce7314c3 · outbound

This paper cites Decomposing Complex Queries for Tip-of-the-tongue Retrieval.

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation Decomposing Complex Queries for Tip-of-the-tongue Retrieval

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:39.419900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77550d72-da5b-4d41-9c79-d7f5abe8372c · outbound

This paper cites Generative and Pseudo-Relevant Feedback for Sparse, Dense and Learned Sparse Retrieval.

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation Generative and Pseudo-Relevant Feedback for Sparse, Dense and Learned Sparse Retrieval

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:39.434196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e54f382-9be5-4ce8-92e9-cdb4aa4e4cd5 · outbound

This paper cites A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation.

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:39.449835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a167dba-581e-4624-90d6-25ca7f6fa3c8 · outbound

This paper cites Careful Whisper -- leveraging advances in automatic speech recognition for robust and interpretable aphasia subtype classification.

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation Careful Whisper -- leveraging advances in automatic speech recognition for robust and interpretable aphasia subtype classification

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T00:24:39.524068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 27938a6e-af7c-4753-84aa-86becfd26d5b · outbound

This paper cites InSeminars in speech and language, volume 20, pages 19–31.

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation InSeminars in speech and language, volume 20, pages 19–31

Reference 1999

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:39.804702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8f31ab91-830b-49ad-91d4-45bbb27258f9 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation Distilling the Knowledge in a Neural Network

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:39.409337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 635e0d45-5f80-4a30-905f-745c5ddd6f57 · outbound

This paper cites an unresolved cited work.

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation Unresolved cited work

Reference 2016

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:24:39.732382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 375bfb5d-69b2-446c-8fa6-36c7db31ab59 · outbound

This paper cites Revisiting Self-Training for Neural Sequence Generation.

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation Revisiting Self-Training for Neural Sequence Generation

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:39.401081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce5a7a1f-a7d2-457a-a90b-ac5d942f822c · outbound

This paper cites In2021 43rd Annual International Confer- ence of the IEEE Engineering in Medicine & Biology Society (EMBC), pages 2299–2302.

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation In2021 43rd Annual International Confer- ence of the IEEE Engineering in Medicine & Biology Society (EMBC), pages 2299–2302

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:39.781411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5ff74d2f-9f3f-4926-ad68-016fe5910541 · outbound

This paper cites Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds.

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:39.347881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b581ed7-6edb-47d3-af30-d228786aa589 · outbound

This paper cites Samarth Bhargav, Georgios Sidiropoulos, and Evange- los Kanoulas.

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation Samarth Bhargav, Georgios Sidiropoulos, and Evange- los Kanoulas

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:39.846939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 30383255-7398-4e68-9197-69ec59a2224a · outbound

This paper cites tip-of-the-tongue.

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation tip-of-the-tongue

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:39.759316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 998a6b00-4516-42cc-b37c-a3379b628fe5 · outbound

This paper cites Jiaao Chen, Dinghan Shen, Weizhu Chen, and Diyi Yang.

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation Jiaao Chen, Dinghan Shen, Weizhu Chen, and Diyi Yang

Reference 3166

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:39.823981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.