Pith. sign in

Paper Citation Record · LEDGER

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering

As of 10 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2502.02047.

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

pith.paper-citation-record.v1
2502.02047 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:36:56.680792Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

20 of 20 outbound references displayed

  • verified exact1
  • verified fuzzy10
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f30bbd7c-d10e-4c96-b83a-e5eda510b778 · outbound

This paper cites Improving part-of-speech tagging in amharic language using deep neural network,.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering Improving part-of-speech tagging in amharic language using deep neural network,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:36:56.858696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T13:36:56.622776Z digest=sha256:aed54313cbe2245cd08c5a63b3a0ad4e8874440b33da4e42272a34a3cd5015c5

Observation 53ee4743-22ac-44b8-b8e8-324ee2043bea · outbound

This paper cites Detection and comparative analysis of handwritten words of amharic language to english using cnn-based frameworks,.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering Detection and comparative analysis of handwritten words of amharic language to english using cnn-based frameworks,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:36:56.849705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T13:36:56.626543Z digest=sha256:a7949e9738c4146d744a86c9005c7ef846efd3f677921945840b6b929de1231e

Observation e19ecf2e-1fda-47e8-a291-0e8311fe0bd5 · outbound

This paper cites Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T13:36:56.629522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:36:56.629522Z digest=sha256:9f05af5432c4a0f4af8b464c201ea353bc6b08f6d9a0e5b2f69a101978083e02

Observation 5fc596b6-4d80-483b-9e53-1a893aa937de · outbound

This paper cites Ms marco: A human-generated machine reading compre- hension dataset,.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering Ms marco: A human-generated machine reading compre- hension dataset,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:36:56.840463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T13:36:56.633460Z digest=sha256:feb96ef8bb5aa3bc0716a92929d53662b44c51e572570dbdabce37b60669391d

Observation d6c97671-b37c-4d96-941c-13f2dd9599ff · outbound

This paper cites Teaching machines to read and comprehend,.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering Teaching machines to read and comprehend,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T13:36:56.636439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:36:56.636439Z digest=sha256:570d435344aecf7f3503470012b5c2ee6eff3dc730fe5f5405e5c526b2a51c3d

Observation 7ce49a9e-dd90-4040-905b-9f8a9d7a210f · outbound

This paper cites Know What You Don't Know: Unanswerable Questions for SQuAD.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering Know What You Don't Know: Unanswerable Questions for SQuAD

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T13:36:56.639694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:36:56.639694Z digest=sha256:db5728637919dd17a286d7869a652cce5a489fed71ca5da7d116a78223fddd40

Observation 35f2b602-8a62-4377-872a-33cef9e40560 · outbound

This paper cites AmQA: Amharic Question Answering Dataset.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering AmQA: Amharic Question Answering Dataset

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-09T13:36:56.643164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:36:56.643164Z digest=sha256:96fded21ac852965f32017bb6f5cfc8cdabcd5dc810953e25e6e9709c8ee8cc3

Observation 003751ed-81db-4f0a-bd7b-9593e0a64758 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering Unsupervised Cross-lingual Representation Learning at Scale

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T13:36:56.646177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:36:56.646177Z digest=sha256:4fab5e983f48138b5725afa46d6f09ca53302284f7d726594f50ebfd9a52ff7e

Observation 675ede1f-5037-4925-aabd-caeebc4bd007 · outbound

This paper cites MLQA: Evaluating Cross-lingual Extractive Question Answering.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering MLQA: Evaluating Cross-lingual Extractive Question Answering

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T13:36:56.649281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:36:56.649281Z digest=sha256:12825198a9e8f1d86e8c104ba398c93538520383061fd9ea70b4b8af1de14d89

Observation 8e2303fc-6b2e-46da-ad3f-838081c746ad · outbound

This paper cites Automatic Spanish Translation of the SQuAD Dataset for Multilingual Question Answering.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering Automatic Spanish Translation of the SQuAD Dataset for Multilingual Question Answering

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-09T13:36:56.722152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T13:36:56.652425Z digest=sha256:3cc432d32230098b0f27512e12fcf92bb2a05bee370b175a08f410db392f4214

Observation 0e9be123-bf26-45be-ba2d-2757c611e50d · outbound

This paper cites efmaral,.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering efmaral,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:36:56.827226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T13:36:56.655585Z digest=sha256:6461d02006dac65057eaa3f85d1c4001f361a86721fb49277de08a8b85d0d484

Observation 877fb52f-88e0-494c-b97f-f5a0e68e57a2 · outbound

This paper cites Amharic question answering for biography, definition, and description questions,.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering Amharic question answering for biography, definition, and description questions,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:36:56.819223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T13:36:56.658307Z digest=sha256:86592da92179d3fe3c3b5b77127321a5ab6c995e49b930a7bfd7d89a821926d7

Observation e2e281a7-2bee-4dea-abe7-22df09f9528f · outbound

This paper cites Parsquad: machine translated squad dataset for persian question answering,.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering Parsquad: machine translated squad dataset for persian question answering,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:36:56.810376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T13:36:56.661170Z digest=sha256:e7a2eba5735ed3722c7eee112c4fc34ec48bb64ede198da7f37579a0e63aba19

Observation 68fc68cc-1af7-4654-9f63-b5537fcf8c84 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-09T13:36:56.663869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:36:56.663869Z digest=sha256:eda2a3f53397eb2d1287e3d114080f35400ac2a4246d0d0bf14d1117a1aae153

Observation e65e99dd-fe64-4efd-8bf7-daedbc9aba98 · outbound

This paper cites squad v2 · datasets at hugging face,.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering squad v2 · datasets at hugging face,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:36:56.801318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T13:36:56.666885Z digest=sha256:00132a327d8e4b27020363a937659ba91c28561f20a54c34120ad5d1936476a6

Observation 5d96cff1-737b-4bfc-b7b3-0ea758ef4c0f · outbound

This paper cites Davlan/bert-base-multilingual-cased-finetuned-amharic,.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering Davlan/bert-base-multilingual-cased-finetuned-amharic,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:36:56.792695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T13:36:56.669628Z digest=sha256:5e63e2243d98f7c865726b7ec55ee4166071e4d0f8371e50f08306a33675bc8d

Observation 560c670d-a41e-457c-afac-71d6405602d4 · outbound

This paper cites an unresolved cited work.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:36:56.783941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T13:36:56.672320Z digest=sha256:4226a055799b54ed94db396f40ac322f75efb4b942a286f2f709f274d2ed1fda

Observation 7c4c0e28-b583-46d6-a364-0cc23c3cbb1c · outbound

This paper cites BERT: Pre- training of deep bidirectional transformers for language understanding,.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering BERT: Pre- training of deep bidirectional transformers for language understanding,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:36:56.775455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T13:36:56.675091Z digest=sha256:9e67f5a7b9eee79519cd78cc45b3adce9761b3e9f0093bb006cf176d1e03b997

Observation eb4da2fd-5f87-4a0e-8f29-b7a8884dc97f · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-09T13:36:56.677766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:36:56.677766Z digest=sha256:40bafcd32fa26ac7a71c5a60e0330ba356558e3144ba9c102bfe49435e4d55be

Observation 142b4f95-8f79-4776-9c26-7b0051a32bac · outbound

This paper cites How multilingual is multilingual BERT?.

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering How multilingual is multilingual BERT?

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:36:56.766801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T13:36:56.680792Z digest=sha256:bc9a60e8ae4df50e76e847b4e5e819aa2081eaa1161b282e7eccb2633f3694d9

Pith citing papers

No inbound Pith citation observations are available.