Pith. sign in

Paper Citation Record · LEDGER

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2506.02039.

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

pith.paper-citation-record.v1
2506.02039 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:51.099885Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:47.983592Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:09:51.286354Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy28
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f4ca52e-0fb2-456d-8d71-cb48a4e41d45 · outbound

This paper cites No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T12:09:51.386921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:47.983592Z digest=sha256:4693b1622bc19e288d2da5ef9355add26a01c864f704478b9599b3bfa2981dd5

Observation ec22cf98-aec5-4288-bba9-dba226bb4df5 · outbound

This paper cites an unresolved cited work.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:09:57.588228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:48.046946Z digest=sha256:da07addf33741d9d605c62009cd730d0426ca767191ff65b95baceb38903699f

Observation 058481e8-2e6e-4a1d-a96b-8c45417129b6 · outbound

This paper cites Experimental setup 3.1.1.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Experimental setup 3.1.1

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:57.476094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:48.159210Z digest=sha256:55d335a832c3b1ca4d90d74f38ff6475d51ea5d12c1a78cb7bd43089f88aab74

Observation 9241fc9d-b593-4786-a402-29dbb7ba0b58 · outbound

This paper cites an unresolved cited work.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:09:57.374832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:48.247946Z digest=sha256:83cf55c42bea3be643bef58f49fa77f02de3fb8a91ee0f6cdad03bbcfe029c1e

Observation cb0cf86b-9783-4d11-bf47-24ff0d7ff7e0 · outbound

This paper cites A short- time objective intelligibility measure for time-frequency weighted noisy speech,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction A short- time objective intelligibility measure for time-frequency weighted noisy speech,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:57.239149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:48.332503Z digest=sha256:14fcfed2aba78967995196380ccdd70a684f1a0eb2e18e6e7d5f082394c117fd

Observation 2041ed88-61c9-4290-a975-cb99d920cb52 · outbound

This paper cites An algorithm for predicting the intelligibility of speech masked by modulated noise maskers,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction An algorithm for predicting the intelligibility of speech masked by modulated noise maskers,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:57.108129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:48.433775Z digest=sha256:523c248cc17f0b98ea799f6727d648e91aac56a692b4b4bc64f94eb8f57e62e7

Observation f7477a5d-87e5-4910-8e2f-8333200f202b · outbound

This paper cites Mti-net: A multi-target speech intelligibility prediction model,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Mti-net: A multi-target speech intelligibility prediction model,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:56.952452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:48.527649Z digest=sha256:9861bc1fdcc589dd992e6f4804c9c76fcce5fc39453cf133130ba20772a936a0

Observation dd67d612-f798-46da-9bbe-7dac73d7c6b3 · outbound

This paper cites End-to-end speech intelligibility prediction using time- domain fully convolutional neural networks,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction End-to-end speech intelligibility prediction using time- domain fully convolutional neural networks,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:56.822558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:48.650919Z digest=sha256:71e74c585b857a717b493ad02552d76ddd7adf773036453f778532144c3b80ab

Observation 757f359a-63db-436d-8a75-4ae2c94ce7fd · outbound

This paper cites Non- intrusive speech intelligibility prediction using convolutional neu- ral networks,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Non- intrusive speech intelligibility prediction using convolutional neu- ral networks,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:56.693765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:48.720430Z digest=sha256:90f51237794c87722a8f897336a860705c2b0ce4e03a37cd2e62aca7a51e4b43

Observation 27628b68-e08c-4a1e-8264-823f0983c7a1 · outbound

This paper cites Mbi-net: A non-intrusive multi-branched speech intelligibility prediction model for hearing aids,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Mbi-net: A non-intrusive multi-branched speech intelligibility prediction model for hearing aids,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:56.534223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:48.806660Z digest=sha256:e477eec85525117341751a1918671dfcbfd1ead7b8db048230c012275819351a

Observation 4ad4ed4f-322a-4554-b74c-7453954388f3 · outbound

This paper cites Speech foundation models on intelligi- bility prediction for hearing-impaired listeners,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Speech foundation models on intelligi- bility prediction for hearing-impaired listeners,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:56.421902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:48.866554Z digest=sha256:354d4fd9ed952e18e5f1b9f857333c6e6c87ab4c86a50e9e0d257fe8f5fe1ccf

Observation 934a3cd0-9a0a-466a-891d-c2471d7c90d9 · outbound

This paper cites Speech intelligibility pre- diction for hearing-impaired listeners with the leap model,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Speech intelligibility pre- diction for hearing-impaired listeners with the leap model,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:56.264992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:48.949582Z digest=sha256:0ed25b08ab6209291ff4ccf7d84d7da26b38cb60362a41633f5c465b6dec5047

Observation 256c7ec4-844d-43f4-bf9a-53577360a7f0 · outbound

This paper cites Non-intrusive speech intelligibility pre- diction for hearing-impaired users using intermediate asr features and human memory models,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Non-intrusive speech intelligibility pre- diction for hearing-impaired users using intermediate asr features and human memory models,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:56.066944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:49.046710Z digest=sha256:be194f1adec8139a236d612c2e83d2c3b66995ed26baf8e88609f6d246e3864d

Observation 008dee59-dbb9-4057-94ce-fee7ea331433 · outbound

This paper cites The 1st clarity prediction challenge: A ma- chine learning challenge for hearing aid intelligibility prediction,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction The 1st clarity prediction challenge: A ma- chine learning challenge for hearing aid intelligibility prediction,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:55.935026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:49.119564Z digest=sha256:d46b4bb98bb58d353298d36d248413ae5c0d36ad0459224a8c63c53acff9cf95

Observation aac84a84-4fa6-45ca-8712-a429ef559924 · outbound

This paper cites The 2nd clarity predic- tion challenge: A machine learning challenge for hearing aid in- telligibility prediction,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction The 2nd clarity predic- tion challenge: A machine learning challenge for hearing aid in- telligibility prediction,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:55.773542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:49.220876Z digest=sha256:734416c237d1d8e462052379436d75433c3006ea3327a07fc53bc41b4b49084e

Observation 7d6ecaf6-d070-4741-9e67-72a97c236143 · outbound

This paper cites Factors affecting the use of speech testing in adult audiology,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Factors affecting the use of speech testing in adult audiology,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:55.596972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:49.313984Z digest=sha256:e26e1de36fb55f77e85e734c91c831cc1e1e18ac25daeda78349535a0bfbd071

Observation 1d9a409b-4209-4fef-846e-87c0842fffc7 · outbound

This paper cites Perception and cognition in the ageing brain: A brief review of the short- and long-term links be- tween perceptual and cognitive decline,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Perception and cognition in the ageing brain: A brief review of the short- and long-term links be- tween perceptual and cognitive decline,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:55.422752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:49.391450Z digest=sha256:bfbc2a381a34bfda348f1e8ed41ed09061040008bab0861d3ce9ed2c0553f8bb

Observation 331ffe79-73f5-460b-a5a2-79212d8849ce · outbound

This paper cites Mathematical treatment of con- text effects in phoneme and word recognition.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Mathematical treatment of con- text effects in phoneme and word recognition

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:55.224261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:49.520670Z digest=sha256:9656ed0c340ea6637c071dc65a3e0291fd3e044289bf995bc410c85aeba0f157

Observation c8d77005-4975-494c-acc2-3457522be616 · outbound

This paper cites The contribution of auditory and cognitive factors to intelligibility of words and sentences in noise,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction The contribution of auditory and cognitive factors to intelligibility of words and sentences in noise,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:55.023570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:49.598433Z digest=sha256:186907e42517b33bc6efbbfd2f933713d2da574f2c1bc6e4bc5e7e13c8370651

Observation 66058acb-4a72-4e22-be20-368131727651 · outbound

This paper cites Frequency selectivity and con- sonant intelligibility in sensorineural hearing loss.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Frequency selectivity and con- sonant intelligibility in sensorineural hearing loss

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:54.842194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:49.683884Z digest=sha256:a642f456c87dbe275235cae49a2369e4b3cdb43ffa50e406edb2e1b5297db62f

Observation 187e0548-28e8-41aa-933d-fff7f3226cf4 · outbound

This paper cites Recognition of spoken words by native and non-native listeners: talker-, listener-, and item-related factors.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Recognition of spoken words by native and non-native listeners: talker-, listener-, and item-related factors

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:54.647166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:49.806891Z digest=sha256:43fa95d6ea4c08e83e48facb26fb56fbc91a7814882dfc06692a72a7197e81d3

Observation 65a581ca-d4ae-4dc7-a264-0180f79e429b · outbound

This paper cites The relationship of speech intelligibility with hearing sensitivity, cognition, and perceived hearing difficulties varies for different speech percep- tion tests,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction The relationship of speech intelligibility with hearing sensitivity, cognition, and perceived hearing difficulties varies for different speech percep- tion tests,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:54.491616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:49.948412Z digest=sha256:76e85508e85809c1354d09c986e21b5d8d3598812a22112b8eedb5a7d6149c91

Observation 3525a4b7-8611-42d0-8e54-f30688f2ac11 · outbound

This paper cites One-shot learning of object categories,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction One-shot learning of object categories,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:54.330725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:50.052673Z digest=sha256:2d3318ad48047b268c5d6c91b2d7c55bbd3478f457e6e3180d625301934f8dd5

Observation c0806625-8f6e-471e-a0b2-f490229d5593 · outbound

This paper cites Matching networks for one shot learning,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Matching networks for one shot learning,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:54.159610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:50.185443Z digest=sha256:f364dc3959a6c7628f9706b17ce9c6a9e520acee5a55acec348212231a582fe8

Observation ba2bcc72-04b4-4d09-be40-14da2af886b1 · outbound

This paper cites Prototypical networks for few-shot learning,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Prototypical networks for few-shot learning,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:54.003841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:50.323129Z digest=sha256:77c21fa5f06ce683f49fc179944dcf4aa5fa9187e6ab45c0168f11b0d0c51fc6

Observation 4b4bd096-e02a-4dbe-91c5-d0dc1d0d21fb · outbound

This paper cites Speech audiometry in conductive and sensorineural hearing loss,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Speech audiometry in conductive and sensorineural hearing loss,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:53.847507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:50.404332Z digest=sha256:ed0518a4545504734afbd01e954f4b7158d08ee70766b112d196ae0db6f04c74

Observation e3a141eb-a31b-4f80-8363-1c9c23e22bb8 · outbound

This paper cites Non-intrusive speech intelligibility prediction for hearing aids using whisper and metadata,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Non-intrusive speech intelligibility prediction for hearing aids using whisper and metadata,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:53.635710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:50.530984Z digest=sha256:42d25b5564d20762376ec1f5c21ff9fc361604d5cb0c1c93223696b3930a78f6

Observation 1c9bcfa0-8e25-4325-8e33-1e8302c9db2a · outbound

This paper cites Transfer learning from whisper for microscopic intelligibility prediction,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Transfer learning from whisper for microscopic intelligibility prediction,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:53.412236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:50.641504Z digest=sha256:bc18bca332b3f7285b087cb431e2bc3fdf9f97c381bfbfd99b05e9c037a6e179

Observation 0c7576f7-4190-4d98-b8a3-33ac11987611 · outbound

This paper cites Network In Network.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Network In Network

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:50.752752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:09:50.752752Z digest=sha256:142046394a828c0eefaabc5c92ad11cdc4cb09d998b5fd1e10dcfa5b11f5152a

Observation 6fd458b4-a394-4446-9a58-7f8a6eadd6fc · outbound

This paper cites Robust Estimation of a Location Parameter,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Robust Estimation of a Location Parameter,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:53.186092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:50.824234Z digest=sha256:0c23080bb273a07a5acd88ad2d7c019067d0a0e6932115b34214bb88ee2e5550

Observation cde58090-9e4d-47ec-82fc-95a275a2b17f · outbound

This paper cites Adam: A method for stochastic op- timization,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Adam: A method for stochastic op- timization,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:52.598502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:50.918935Z digest=sha256:8d84f3289a4aa1caf3b2f28b6dc25bb702f19bd51a1522a1edaf30fd9be9da5b

Observation bc18ab83-ebb8-430c-8349-9a3f48449b8c · outbound

This paper cites SGDR: stochastic gradient descent with warm restarts,.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction SGDR: stochastic gradient descent with warm restarts,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:51.609360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:50.998388Z digest=sha256:98903b916b1cfda61e8eb1b1a9fc23178e9981bf8b7f14d52c5c54a62a49961b

Observation 5ddd8da6-919b-410d-91e9-4f261b266379 · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:51.099885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:09:51.099885Z digest=sha256:188ec8252539d5f929f34a015b181cde5fb09c162cfb18659ef6a522d9604a06

Pith citing papers

Observation 1f4ca52e-0fb2-456d-8d71-cb48a4e41d45 · inbound

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction cites this paper.

No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T12:09:51.386921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:47.983592Z digest=sha256:4693b1622bc19e288d2da5ef9355add26a01c864f704478b9599b3bfa2981dd5