Paper Citation Record · LEDGER

Mitigating Noisy Inputs for Question Answering

As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:1908.02914.

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

pith.paper-citation-record.v1
1908.02914 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:36:12.623865Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:36:12.500970Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T14:36:12.661182Z

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy29
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f79d405c-42ff-489e-93cc-47f79fa87981 · outbound

This paper cites Mitigating Noisy Inputs for Question Answering.

Mitigating Noisy Inputs for Question Answering Mitigating Noisy Inputs for Question Answering

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T14:36:12.667836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f31aaee2-e6b2-42bb-8446-e05df87256be · outbound

This paper cites cyclohexane.

Mitigating Noisy Inputs for Question Answering cyclohexane

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:13.006619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2789bb60-fa04-4734-bce1-c0f0e7c6269d · outbound

This paper cites Louis Vampas.

Mitigating Noisy Inputs for Question Answering Louis Vampas

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.995802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1733cd30-3dd0-409d-a291-523ed0824879 · outbound

This paper cites novel”, “character.

Mitigating Noisy Inputs for Question Answering novel”, “character

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.985170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1af63212-4ff8-4c49-aa51-3aa0c7c09c61 · outbound

This paper cites Introducing ASR into a QA pipeline corrupts the data.

Mitigating Noisy Inputs for Question Answering Introducing ASR into a QA pipeline corrupts the data

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.974011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 36ab6004-3ece-4a91-ac43-fd47cfcae7c7 · outbound

This paper cites The views expressed in this paper are our own.

Mitigating Noisy Inputs for Question Answering The views expressed in this paper are our own

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.963962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c9c6a2eb-6a4d-4c53-b85a-7b8130f1f5d0 · outbound

This paper cites Build Watson: an overview of DeepQA for the Jeopardy! challenge,.

Mitigating Noisy Inputs for Question Answering Build Watson: an overview of DeepQA for the Jeopardy! challenge,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.952902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4f5f631b-b675-47c7-8c89-6b89a02dd775 · outbound

This paper cites Boyd-Graber, S.

Mitigating Noisy Inputs for Question Answering Boyd-Graber, S

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.940674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 773fcbb8-6e5f-48ac-89b0-75d67d386192 · outbound

This paper cites Adversarial examples for evaluating reading comprehension systems,.

Mitigating Noisy Inputs for Question Answering Adversarial examples for evaluating reading comprehension systems,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.930365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 906829da-394c-452b-9d9a-6ee8eab6e35b · outbound

This paper cites Qme!: A speech-based question-answering system on mobile devices,.

Mitigating Noisy Inputs for Question Answering Qme!: A speech-based question-answering system on mobile devices,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.920314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5cbdf62c-e4ea-4770-b002-9a30106254b9 · outbound

This paper cites Building effective question answering characters,.

Mitigating Noisy Inputs for Question Answering Building effective question answering characters,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.910004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8f202e6f-d43c-4dd5-beca-17a54594149b · outbound

This paper cites Neural lattice-to-sequence models for uncertain inputs,.

Mitigating Noisy Inputs for Question Answering Neural lattice-to-sequence models for uncertain inputs,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.899208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5a0d7ffa-7e91-40b6-b8d5-8a5c6d394575 · outbound

This paper cites Jhu aspire system: Robust lvcsr with tdnns, ivector adaptation and rnn-lms,.

Mitigating Noisy Inputs for Question Answering Jhu aspire system: Robust lvcsr with tdnns, ivector adaptation and rnn-lms,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.888287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d8d2783c-6913-4ad3-b0d0-7b8cadde9994 · outbound

This paper cites The ﬁsher corpus: a resource for the next generations of speech-to-text,.

Mitigating Noisy Inputs for Question Answering The ﬁsher corpus: a resource for the next generations of speech-to-text,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.877073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0987fc42-61da-4a69-ab5f-48d81edfa205 · outbound

This paper cites Mtnt: A testbed for machine translation of noisy text,.

Mitigating Noisy Inputs for Question Answering Mtnt: A testbed for machine translation of noisy text,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.866514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 06186bda-d735-44d8-884b-9b65e175d0b6 · outbound

This paper cites Synthetic and natural noise both break neural machine translation,.

Mitigating Noisy Inputs for Question Answering Synthetic and natural noise both break neural machine translation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.854567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 44842636-a21b-4962-bb1b-049e382eb077 · outbound

This paper cites Exploring speech enhancement with generative adversarial networks for ro- bust speech recognition,.

Mitigating Noisy Inputs for Question Answering Exploring speech enhancement with generative adversarial networks for ro- bust speech recognition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.843071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 56290b56-05c4-4619-8235-8c0c796feea7 · outbound

This paper cites Odsqa: Open-domain spoken question answering dataset,.

Mitigating Noisy Inputs for Question Answering Odsqa: Open-domain spoken question answering dataset,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.830666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3e98fe5a-9c21-4667-8704-c5e3564fc60a · outbound

This paper cites Studio Ousia’s quiz bowl question answering system,.

Mitigating Noisy Inputs for Question Answering Studio Ousia’s quiz bowl question answering system,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.820314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c8697ea0-7320-4ed8-846d-197dce37e1b3 · outbound

This paper cites SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine.

Mitigating Noisy Inputs for Question Answering SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T14:36:12.579984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c5ac1dd-ed3b-4ed7-b8d9-66461ff2b104 · outbound

This paper cites Using tf-idf to determine word relevance in document queries,.

Mitigating Noisy Inputs for Question Answering Using tf-idf to determine word relevance in document queries,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.809898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 02f7df26-63fc-45b7-a946-5adf8ffe8eff · outbound

This paper cites The probabilistic rele- vance framework: Bm25 and beyond,.

Mitigating Noisy Inputs for Question Answering The probabilistic rele- vance framework: Bm25 and beyond,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.799148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 29c87b14-46a5-4b77-b4f8-def4ca212d73 · outbound

This paper cites The Kaldi speech recognition toolkit,.

Mitigating Noisy Inputs for Question Answering The Kaldi speech recognition toolkit,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.787377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 82c290ac-8dad-4e8e-a0e8-c964f70ba74e · outbound

This paper cites Deep unordered composition rivals syntactic methods for text classiﬁcation,.

Mitigating Noisy Inputs for Question Answering Deep unordered composition rivals syntactic methods for text classiﬁcation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.777352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e71793c1-b793-470d-b3c3-18c4a1d15f6d · outbound

This paper cites Automatic differentiation in pytorch,.

Mitigating Noisy Inputs for Question Answering Automatic differentiation in pytorch,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.765829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e673a72c-3532-426f-8a87-4e911ef044e6 · outbound

This paper cites Unsupervised training of acoustic models for large vocabulary continuous speech recogni- tion,.

Mitigating Noisy Inputs for Question Answering Unsupervised training of acoustic models for large vocabulary continuous speech recogni- tion,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.753972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4009c955-ed10-4938-8883-6e09e551f321 · outbound

This paper cites Unsupervised feature learning for audio classiﬁcation using convolutional deep belief networks,.

Mitigating Noisy Inputs for Question Answering Unsupervised feature learning for audio classiﬁcation using convolutional deep belief networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.742427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4feb80e2-cc12-4f92-ae98-706aee214763 · outbound

This paper cites BLEU: a method for automatic evaluation of machine translation,.

Mitigating Noisy Inputs for Question Answering BLEU: a method for automatic evaluation of machine translation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.728197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ed18fc2a-5957-4bfc-85c3-438ba394e775 · outbound

This paper cites A mathematical theory of communication,.

Mitigating Noisy Inputs for Question Answering A mathematical theory of communication,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.716720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6c8d541a-ac11-4e38-99a8-ecbe460bedce · outbound

This paper cites an unresolved cited work.

Mitigating Noisy Inputs for Question Answering Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:36:12.703974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b32caa0d-066c-4518-b0c1-d10d14c2ab8d · outbound

This paper cites This network only sees the word vectors when consuming the lattice structure.

Mitigating Noisy Inputs for Question Answering This network only sees the word vectors when consuming the lattice structure

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.691744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b3698923-8aab-4304-8d6a-e2bcb6f533d3 · outbound

This paper cites The conﬁdences are concatenated to the word vector inputs.

Mitigating Noisy Inputs for Question Answering The conﬁdences are concatenated to the word vector inputs

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:12.680468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation f79d405c-42ff-489e-93cc-47f79fa87981 · inbound