Paper Citation Record · LEDGER

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization

As of 23 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2505.24229.

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

pith.paper-citation-record.v1
2505.24229 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:39.165139Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:37.174215Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:35:39.281526Z

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy20
unresolved3
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 64a3c503-f399-4368-904c-68be598bca5c · outbound

This paper cites three point five dollars.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization three point five dollars

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:44.270211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cd9905f9-ca34-45d0-9335-a51c03166878 · outbound

This paper cites By modifying the architecture of the pretrained model, we enable real-time processing while taking advantage of the pretrained weights.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization By modifying the architecture of the pretrained model, we enable real-time processing while taking advantage of the pretrained weights

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:44.078777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 30cff8d2-8e53-433a-acc6-f2622ca1ebea · outbound

This paper cites Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:35:39.360996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e8307cc4-7680-4d84-af41-1e43b0a4df8c · outbound

This paper cites an unresolved cited work.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:35:43.845354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fdad31e0-2ba6-43bf-b212-8d36319a11ff · outbound

This paper cites Thutmose tagger: Single-pass neural model for inverse text normalization,.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization Thutmose tagger: Single-pass neural model for inverse text normalization,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:42.207683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c695b5db-e34b-4591-89a0-6c85c24da005 · outbound

This paper cites B” signifies the beginning of a desig- nated category, “I.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization B” signifies the beginning of a desig- nated category, “I

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:43.481379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 672bc94c-5a95-4318-94ec-23fe9832a550 · outbound

This paper cites By adapting a pretrained model for streaming applica- tions, we addressed the inherent limitations of traditional ITN methods, particularly in real-time scenarios.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization By adapting a pretrained model for streaming applica- tions, we addressed the inherent limitations of traditional ITN methods, particularly in real-time scenarios

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:43.277961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7a84fabf-f55c-4525-8be9-862c69cdef67 · outbound

This paper cites Adapitn: A fast, reliable, and dynamic adaptive inverse text normalization,.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization Adapitn: A fast, reliable, and dynamic adaptive inverse text normalization,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:43.089086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a5287df6-e7bf-47be-b779-27c75202be78 · outbound

This paper cites Improving neural text normalization with data augmentation at character- and morphological levels,.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization Improving neural text normalization with data augmentation at character- and morphological levels,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:42.897792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6d674e6b-36d7-4877-9772-9d0073472751 · outbound

This paper cites Spoken-to-written text conversion with large language model,.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization Spoken-to-written text conversion with large language model,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:42.649377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ce8d1d3e-c3c7-4376-a324-9678e8c5de8d · outbound

This paper cites Neu- ral inverse text normalization,.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization Neu- ral inverse text normalization,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:42.400417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0bdd017a-b05e-4173-a233-3c26f0cce7b6 · outbound

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

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization BERT: Pre-training of deep bidirectional transformers for language understanding,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:38.675663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0551f1f3-5d9c-4e5a-8b17-a08ed7f61af0 · outbound

This paper cites Four- in-one: a joint approach to inverse text normalization, punctua- tion, capitalization, and disfluency for automatic speech recog- nition,.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization Four- in-one: a joint approach to inverse text normalization, punctua- tion, capitalization, and disfluency for automatic speech recog- nition,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:42.055313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d3a707e5-b481-424e-9f25-849e2134176a · outbound

This paper cites welcome” may be tokenized as two distinct tokens, “wel.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization welcome” may be tokenized as two distinct tokens, “wel

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:43.661388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ede470b1-4bd3-47a0-808a-4565834b92be · outbound

This paper cites A mostly data-driven approach to inverse text normalization,.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization A mostly data-driven approach to inverse text normalization,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:41.838717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 40445fa2-96cb-4265-bde0-3e370a6acb40 · outbound

This paper cites Scaling neural ITN for numbers and temporal expressions in Tamil: Findings for an agglutinative low-resource language,.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization Scaling neural ITN for numbers and temporal expressions in Tamil: Findings for an agglutinative low-resource language,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:41.640095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a0c1cb45-7536-46cd-bf8a-f4060b284027 · outbound

This paper cites Improving data driven inverse text normalization using data augmentation and machine translation,.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization Improving data driven inverse text normalization using data augmentation and machine translation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:41.369345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c31a2889-bbe5-41cf-811a-af4e23159ae1 · outbound

This paper cites Streaming, fast and accurate on-device inverse text normalization for automatic speech recognition,.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization Streaming, fast and accurate on-device inverse text normalization for automatic speech recognition,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:41.159162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a3751fa2-ac6e-412a-bbaf-7024f917cbd8 · outbound

This paper cites Improving streaming speech recognition with time-shifted contextual attention and dynamic right context mask- ing,.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization Improving streaming speech recognition with time-shifted contextual attention and dynamic right context mask- ing,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:40.840146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 491c7961-103f-4b06-9230-64c845761b73 · outbound

This paper cites PhoBERT: Pre-trained language models for Vietnamese,.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization PhoBERT: Pre-trained language models for Vietnamese,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:38.751568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8d6bd8a-d3c1-42d2-b60c-0845bc3bddf3 · outbound

This paper cites Mohri, Weighted Finite-State Transducer Algorithms.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization Mohri, Weighted Finite-State Transducer Algorithms

Reference 21

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:35:40.497358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d568cb23-b64c-4b3f-86dc-b3aaa0ff059f · outbound

This paper cites Chunkformer: Masked chunking conformer for long-form speech transcription,.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization Chunkformer: Masked chunking conformer for long-form speech transcription,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:40.167400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5257f8a2-e6aa-43ae-852c-1400649a1130 · outbound

This paper cites Confidence intervals for evaluation in machine learning.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization Confidence intervals for evaluation in machine learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:39.920979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4cb295e3-7835-4a7b-a297-a43928f03410 · outbound

This paper cites Nemo (inverse) text normalization: From development to production,.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization Nemo (inverse) text normalization: From development to production,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:39.720307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 49eb7b24-65be-46be-b2b6-2fa04d352bb7 · outbound

This paper cites Variable attention masking for configurable transformer trans- ducer speech recognition,.

Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization Variable attention masking for configurable transformer trans- ducer speech recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:39.537175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 30cff8d2-8e53-433a-acc6-f2622ca1ebea · inbound