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Paper Citation Record · LEDGER

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2502.10058.

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

pith.paper-citation-record.v1
2502.10058 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:36:57.149986Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:23:31.587646Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:23:32.857869Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec4ccd65-c01d-499b-82da-55648edd2358 · outbound

This paper cites International Journal of Engineering and Advanced Technology (IJEAT) 3(3), 71–74 (2014).

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems International Journal of Engineering and Advanced Technology (IJEAT) 3(3), 71–74 (2014)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.493495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T19:36:57.045919Z digest=sha256:aa62c38cd1374c9e1562956cbcf7b5bab090091f44aa6402a3c98b0e23447145

Observation 8aa6c07c-c343-4f89-b7be-986dd142d31c · outbound

This paper cites In: INTERSPEECH 2021 (2021).

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems In: INTERSPEECH 2021 (2021)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.483299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T19:36:57.050973Z digest=sha256:6cb0dcebffa8c73125f1e408b4cb8470deff75f6f411c8f3ff3ef92b8171dac1

Observation 1af28e51-9ae6-4e99-a158-faa4241f8b9d · outbound

This paper cites BERT Attends the Conversation: Improving Low-Resource Conversational ASR.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems BERT Attends the Conversation: Improving Low-Resource Conversational ASR

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T19:36:57.350160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T19:36:57.054971Z digest=sha256:52656c255c5f2cb209072bd5d2589d648882b60e36afee502491d94ce9045406

Observation b2dc9f25-a7e9-4b97-8dca-07be07b27fd8 · outbound

This paper cites Distilling the Knowledge of BERT for Sequence-to-Sequence ASR.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Distilling the Knowledge of BERT for Sequence-to-Sequence ASR

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.059637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.059637Z digest=sha256:8708cd0dabb08f74e80eff0df82be95a781ff9858c6e9c7859368e70e9fa8d18

Observation 6c869206-ad40-411e-b279-b4f9f51a86bc · outbound

This paper cites Transformer with Bidirectional Decoder for Speech Recognition.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Transformer with Bidirectional Decoder for Speech Recognition

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T19:36:57.322061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T19:36:57.064208Z digest=sha256:29688ec7aaabfc9f54e0060cefaf8e9d73808b31d9b864c2d1f8ef89faf77666

Observation a2d34764-398e-439d-a63b-e280103dff11 · outbound

This paper cites Effect and Analysis of Large-scale Language Model Rescoring on Competitive ASR Systems.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Effect and Analysis of Large-scale Language Model Rescoring on Competitive ASR Systems

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T19:36:57.304734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T19:36:57.068857Z digest=sha256:1fb82d7810f480783517a60ec5bf9d1caa90db4a182a4f1ffa9da070e0cece48

Observation 595785a6-eadf-4fc0-94b4-0dbe289ee1e4 · outbound

This paper cites In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.473014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T19:36:57.073731Z digest=sha256:4a2d522b51df95b382494fb3e9b84deb96cbfa045a54bd7d365035a02f6219c6

Observation 7b462b6c-2352-4963-a4ab-b2672f57fc52 · outbound

This paper cites ASR Rescoring and Confidence Estimation with ELECTRA.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems ASR Rescoring and Confidence Estimation with ELECTRA

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T19:36:57.286737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T19:36:57.077495Z digest=sha256:57edf70f72a4a58d44f2011d72d9342f4912095e8fd540eefa9e212b2a7fdf52

Observation 7b8d939e-2c36-4e63-85f1-0d621729ce73 · outbound

This paper cites In: Asian Conference on Machine Learning.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems In: Asian Conference on Machine Learning

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.462303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T19:36:57.081726Z digest=sha256:9d44f35b61c20879a01728f610bd0caad3fb251459096a1e5baee02494dbda96

Observation 4cdf2ecc-fdd5-443d-9099-385bb3dd67d5 · outbound

This paper cites Science China Technological Sciences pp.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Science China Technological Sciences pp

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.450599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T19:36:57.085531Z digest=sha256:00a4d03906af52131551af3632cc0e6bdfc57986792c1da898dc6fe1fde61e28

Observation d73daa9e-73d9-46cf-9c99-af1df32860e7 · outbound

This paper cites Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T19:36:57.269750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T19:36:57.091371Z digest=sha256:b8b9314eabbd9c2c71893a71fa1d5d29a49d1a6124d268ae41a16cb3cfbd11e2

Observation 5a656835-3708-40bb-ac1d-a30e5eb1fac6 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.096311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.096311Z digest=sha256:651a7e2e9dcd6da11de50836198613c9ced0bf93af5a3b8bcb9145516a4efa9c

Observation 1935bdbe-1e11-494f-979a-16792b77876b · outbound

This paper cites Masked Language Model Scoring.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Masked Language Model Scoring

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.100463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.100463Z digest=sha256:e44a460aaa5a9c76f4399e7d8482db3614325e664aaef925dbcbf0ee46d47590

Observation 3017ca8c-fc54-421c-ae6b-109a169dba9c · outbound

This paper cites Meng et al.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Meng et al

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.438441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T19:36:57.104478Z digest=sha256:8b7959f1e58485c40a5c2b35dea4e25d217d2fdcd2f1f508cb2d78a32569dad2

Observation 6dc0d8ca-7914-4159-a55c-9afb64ce28f9 · outbound

This paper cites Unified Language Model Pre-training for Natural Language Understanding and Generation.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Unified Language Model Pre-training for Natural Language Understanding and Generation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.108066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.108066Z digest=sha256:6a0de37d87274fcc3406cfee793ec95d92219d30f526459110163a31e84fc686

Observation 08a4a20f-2203-440d-b37f-ba1c02c4a387 · outbound

This paper cites In: Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems In: Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.426248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T19:36:57.112095Z digest=sha256:702e9898530e7a0b641268c0397710570baeddf4d002f3987cab108d00a79353

Observation b19c318c-6fbc-4260-ac9b-39c42532520f · outbound

This paper cites In: Interspeech.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems In: Interspeech

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.414398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T19:36:57.115688Z digest=sha256:ad1bf773ae731d471207d51f9ed8c588f585f7c585e04c8a0836b6032c490833

Observation f34d0720-8961-46bc-94ec-888164626f3f · outbound

This paper cites Language Modeling with Deep Transformers.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Language Modeling with Deep Transformers

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.119274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.119274Z digest=sha256:94abb07116ef0d4fc3cfbab812e75cad3f22e8bb3009044fca3fc284ae05e48a

Observation 64a1a012-abb5-45cb-be6a-091ed0853812 · outbound

This paper cites Towards better decoding and language model integration in sequence to sequence models.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Towards better decoding and language model integration in sequence to sequence models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.123068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.123068Z digest=sha256:baee4fff6aa9aa069e2f8bf90db36ede00d4f463a522e3ca30581bc0c8471dc7

Observation a2263fe6-cf78-4636-9c68-682b8de0c4ec · outbound

This paper cites IEEE Journal of Selected Topics in Signal Processing 11(8), 1240–1253 (2017).

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems IEEE Journal of Selected Topics in Signal Processing 11(8), 1240–1253 (2017)

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.401574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T19:36:57.127393Z digest=sha256:51933d43523a3756699e8a8a7cf7fc17516195ee58f0ba5cfb230c3105cf7f5a

Observation f948da37-03ba-46cf-ac6a-5896b5c3645d · outbound

This paper cites In: 2015 IEEE international conference on acoustics, speech and signal processing (ICASSP).

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems In: 2015 IEEE international conference on acoustics, speech and signal processing (ICASSP)

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.131111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.131111Z digest=sha256:08fe580f1a49cdcdc93f2af462c59cdce6c071dcd6e0fd626c9fd13551850f11

Observation cfaac057-c877-4d8b-80d1-470478b73d0b · outbound

This paper cites In: 2023 IEEE Spoken Language Technology Work- shop (SLT).

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems In: 2023 IEEE Spoken Language Technology Work- shop (SLT)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.382635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T19:36:57.134729Z digest=sha256:d6652a5afb9cf5eb0562526b54e1c3bdf4f0573857a1dc5a1371e8082b351541

Observation 184d2090-e867-4e8b-a6cb-11185889ceec · outbound

This paper cites In: Advances in neural information processing systems.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems In: Advances in neural information processing systems

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.138455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.138455Z digest=sha256:f1d6825421da25c2ed1bb8fec85dcf9d7019c20a9c68d149660b7204b95db4b0

Observation b3eb259d-a18f-454e-b453-1545d33a0ee5 · outbound

This paper cites Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.142182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.142182Z digest=sha256:d3799d06aa84fd5cf3b8731e651ab547544b85950dd19dd3f5007b88f5ad444d

Observation 44e64189-05a4-429e-8c42-9316d71128c4 · outbound

This paper cites In: 2016 IEEE international conference on acoustics, speech and signal processing (ICASSP).

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems In: 2016 IEEE international conference on acoustics, speech and signal processing (ICASSP)

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.362686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T19:36:57.146095Z digest=sha256:4369ad01c909c37b8abaa41df797d775781483ee7ac3bec37b7d5ca6f44e0ad7

Observation d588d115-6d6c-4ba8-8e2d-684045880f39 · outbound

This paper cites On Using Monolingual Corpora in Neural Machine Translation.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems On Using Monolingual Corpora in Neural Machine Translation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.149986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.149986Z digest=sha256:f9cc17b3d9203ac48b93d60552ce4ca6dd1316980acc5a9d2a55dbd799e5c44c

Pith citing papers

Observation 5a30f61b-95ad-4564-9d71-8722fbc34415 · inbound

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition cites this paper.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:23:32.952358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:23:31.587646Z digest=sha256:e856913054bc5d5682ef58d0c97b5ce96e4d57d36cd12452a5528edfdde6fb68