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Paper Citation Record · LEDGER

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula

As of 22 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2412.15655.

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

pith.paper-citation-record.v1
2412.15655 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:15:51.938270Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:39:47.854823Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:39:50.349205Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4221e9c4-c722-423f-92c6-c9cbc7b476bf · outbound

This paper cites Nougat: Neural Optical Understanding for Academic Documents.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Nougat: Neural Optical Understanding for Academic Documents

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:51.692028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:51.692028Z digest=sha256:9c758188db3fcd49e30759843baf5653b7d2bdbd73d949075524c9329550d399

Observation a9020082-0893-4cd1-8353-4088da98f46f · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.703051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.698775Z digest=sha256:a337416516f12d830ef679f80e71c16de29104c8c97332f26f6d9d75cd8fbc7d

Observation b1bb664e-d0c1-4d74-b7ec-d1501b999ce4 · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.685096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.707875Z digest=sha256:a3744ab7857eca5a4f0c1c8c81d80dd02605dd8b320959a549a6f2a0a5985ea9

Observation ac82213f-5266-40ef-938b-f54f00a46616 · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.668859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.714445Z digest=sha256:3544683246df7d5d8f59aa221ca6d8bdf02286572c4a4fcd6ad7347677bc0442

Observation ea4c4dca-2c59-497e-a9dc-c9826967f056 · outbound

This paper cites F.; and Banchs, R.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula F.; and Banchs, R

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:52.649896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.721265Z digest=sha256:60e63f6e5e4476f9a006d02581371a2dedce6bd57c71145ce1d9d17fdd0ef408

Observation 4290aa4d-9330-4bd4-a47f-510833297d15 · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.628589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.732514Z digest=sha256:fa1dc8672c49f4c3775d1066e7f4e424c2558bf82d52dbeb62da65f3d823c408

Observation 5ba848bc-b5f6-4fd0-990c-82231e91ea6c · outbound

This paper cites Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:51.739117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:51.739117Z digest=sha256:db5c8ac23fec309522ab9fd4f9f8f52125954a923c900461a3a532c52cacdc05

Observation ae18ac53-b610-4fa0-97fc-644d6c18b64d · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.605997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.745722Z digest=sha256:1e62064880a676c0de92b4eda015eca2b218ca8c4a89ef6b58dee576bcdf021a

Observation 80d5474f-234d-42f9-b3a7-e276d32a8ae4 · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.587949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.752134Z digest=sha256:5d6c2cdcfd7ac9cb1b3127c44555423787e8c9027353b7a55d9da57e8d66bc79

Observation 04ed9c28-9a35-460c-bf97-fcf7b815956a · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.574276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.757209Z digest=sha256:c141f77ef56a966491f7727f2e237fdd6c008dc902ec32fe2576fd697aa1a851

Observation 49c649ab-7f7b-405f-8868-10ea67c523de · outbound

This paper cites H.; Li, R.; Zhang, C.; Chen, P.-Y.; and Chng, E.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula H.; Li, R.; Zhang, C.; Chen, P.-Y.; and Chng, E

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:52.557616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.761637Z digest=sha256:cb39dda1cd534b8df4a9854bf2d70720921be047ced5a510bb4ba2ce99ddb26b

Observation f619e258-943b-40b1-9c20-bb44193ade9d · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.539191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.766394Z digest=sha256:7a2ed7da3375ffc8d355411dffe48b5b7d2e3604cfaf29161dc44d9b5ccbc5f7

Observation adda9bf0-4aa1-4aa0-89db-8ded16c829ca · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.521129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.772496Z digest=sha256:a4bc148891062d54449f2bda0ad6fdb1afa2a7e6eee04ec7e88607379acefa2d

Observation 213628a3-b382-4d2a-af62-1b1f9e36858d · outbound

This paper cites MathBridge: A Large Corpus Dataset for Translating Spoken Mathematical Expressions into $LaTeX$ Formulas for Improved Readability.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula MathBridge: A Large Corpus Dataset for Translating Spoken Mathematical Expressions into $LaTeX$ Formulas for Improved Readability

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:51.778066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:51.778066Z digest=sha256:d75e694937f69a88b6599187bd70a1a47c0c9cc6b3be915b6af2e27614b924b1

Observation 637cb7b2-19da-456f-b9d3-54c9267ea022 · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:51.783234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:51.783234Z digest=sha256:bf0445cac1835c66ce21a67c2b7e0c6aa87d9de20013a24e37f777c5d5a0c860

Observation 966f6438-b71f-48ee-8347-59e31c57aa67 · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.494113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.788684Z digest=sha256:db646519be873e369d3f0520b47e9d0178695c22573c699a11effa9509a67aaa

Observation c1c8af5c-b649-4fc8-b981-d1431c0f4d51 · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.480399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.794257Z digest=sha256:0d93773d8d2d42be3b4cc0d60f909b3b447e3ff3236cb335d0c6661665e5ae5d

Observation 20dda9cd-4d3e-4db4-8020-6554d3cebcc1 · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.466555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.799839Z digest=sha256:4ce7496337cb6a681246999f20ff1f1a3cbbf7c805ac62a4709da7036df37bf3

Observation 91042eb9-0e9f-4786-8f5c-7c817e9012dc · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.448050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.804811Z digest=sha256:8f9717cb23b3a1f50cb2e305950b6617dde84c0f5236503a58154758952b64b0

Observation 4afbc41f-dbef-4d94-bbbc-2c1480b5bfdc · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:51.809006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:51.809006Z digest=sha256:554ebe34e14f5b667848cdb4296ee7a8b66c22bd31024410d8530d4fbc993123

Observation 54f7b04a-c233-4b6a-b0bf-cb06c82e05a7 · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.399448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.814009Z digest=sha256:891ceff75e889ae97dddbfd2b48ad464c7ee382652ee3bc8a8e690f8ebabc868

Observation 34ced3ad-3be9-40cc-a883-8f8c3b6c7179 · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.381749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.819605Z digest=sha256:cc2f3b63507c227aff25ec71d4b06affd11827e6717c4bf9563890ab04ba8ecb

Observation 8547988e-9322-4889-b312-bcbed8536c50 · outbound

This paper cites Can Generative Large Language Models Perform ASR Error Correction?.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Can Generative Large Language Models Perform ASR Error Correction?

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:51.823891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:51.823891Z digest=sha256:f3ce4f0f94ab5ef1e17b9b0dbbce36375cb5c37b705b6d392520ab7135203330

Observation 44684f4f-ba9d-42dc-b9a8-0ee99bee7a33 · outbound

This paper cites V.; Konam, S.; and Metze, F.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula V.; Konam, S.; and Metze, F

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:52.361616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.831513Z digest=sha256:754010881830f6d1f3e6ff9315bc61ffbcf62d55de53cd3dbbf9cd00bb082b32

Observation 8bc88bd6-71d6-471e-aaec-72170f1646cd · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.337223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.837379Z digest=sha256:df83c09e96fb44244bd0e1c9cc462307df49ccb0bc5984b23809c18968329010

Observation 461d88dd-fcd2-4e6a-90da-9c93fc4794dd · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.319799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.843864Z digest=sha256:1d1aa3cba67fb537003257c66e781b92c909d16cead1600ef417b2f1fd1c3e80

Observation cc750a8d-37bb-401c-8c17-b178d31306fd · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.303508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.850305Z digest=sha256:f0a9620a045a9edebfcb6dd27ae85cc85dc96e1752cad797576532c271110f6c

Observation 413572a9-24bc-465b-9d0a-087451da3a46 · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.288846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.856548Z digest=sha256:3467e67f7d1f2c29745089bf5dbbe02f4eebde88a8a70750ac841a0830f40cf8

Observation 3015e6a3-cb15-459d-9c4f-4490e3d95d1b · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.272600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.864567Z digest=sha256:78ad280fb16bc6330c2aa5e07e96813bfbc9eb162b37c3c0bfa21508b3ad0e8d

Observation 0db097eb-1947-4ac2-9206-8469a83fb511 · outbound

This paper cites W.; Xu, T.; Brockman, G.; McLeavey, C.; and Sutskever, I.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula W.; Xu, T.; Brockman, G.; McLeavey, C.; and Sutskever, I

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:51.869040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:51.869040Z digest=sha256:3a0a26cd71cdeb895f23efeef8fd63a1250f24a1afc3e0dbef3b0391c9414354

Observation 313c783b-3d40-4fb7-a31e-f7949337dd2f · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:51.873570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:51.873570Z digest=sha256:9f8ab0bf81a7841f3b52a531cf179fe9b8f74480bc03196020b38bc62b05edc9

Observation 53ccc8cc-ff53-4a37-9745-398691c9a7b4 · outbound

This paper cites Evolutionary Prompt Design for LLM-Based Post-ASR Error Correction.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Evolutionary Prompt Design for LLM-Based Post-ASR Error Correction

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:51.879117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:51.879117Z digest=sha256:9ebf69e6b5177f6ed68a40bf6ddd07b4220c97130882fd3978190a69edee6243

Observation 9c5c2061-a127-427d-af71-497efd842753 · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.243093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.884274Z digest=sha256:dfdb37f36ef2b80639adc710bb5d6c9d59e45aa4c16d6429e9b6a97847268e66

Observation 1c657659-88da-41e6-929b-513c8f8e7e1d · outbound

This paper cites N.; Kaiser, .; and Polosukhin, I.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula N.; Kaiser, .; and Polosukhin, I

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:51.888932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:51.888932Z digest=sha256:8536c670c6c857fa6892a44d2189ffe5ad18e36ecb95ab98c3c125b820cd8a84

Observation 469dcc85-f44d-493f-859c-57ab86298d5a · outbound

This paper cites OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:51.895666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:51.895666Z digest=sha256:53bc63daef2b0b484466c5d0801f1d50c2b65acc1637033823c0eb39acd59e4f

Observation 0933c97b-a5c1-4718-a30f-9719506e4ec3 · outbound

This paper cites S.; Khatri, C.; Wang, R.; Zheng, H.; Molino, P.; Namazifar, M.; Papangelis, A.; Williams, H.; Bell, F.; and Tur, G.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula S.; Khatri, C.; Wang, R.; Zheng, H.; Molino, P.; Namazifar, M.; Papangelis, A.; Williams, H.; Bell, F.; and Tur, G

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:15:52.208865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.903056Z digest=sha256:840e02569b927bec3d15cb2e1ad7c46673b13e16ab94ebc074fe4eb2d9e10fbd

Observation 7d6bad4a-ac0e-4d67-83d0-b3db45390544 · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.192864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.910512Z digest=sha256:a2539e7ae0cabfd5aa09188f64f34d6ae458f6ca3dc87c1a62a27c92c99cdc4a

Observation e701f612-3191-4896-a792-b3fc3b332be5 · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.173702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.915847Z digest=sha256:aa6ad09562d70eb03710eec5822dcef91709de811f5fe1b62f6619032554087a

Observation 51717fd3-8dd9-4326-96db-2a5d7d8d70ca · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.158382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.920582Z digest=sha256:78cd7ed8c5e7dad1b9fc37c8a664c56cde6bc237ba2521e3d624db3e4926b71b

Observation 961c94ca-383b-4a89-bc5a-c9303fb62d76 · outbound

This paper cites an unresolved cited work.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:15:52.138687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T11:15:51.925211Z digest=sha256:32c127ec1a30d771a14f5e6d95fa95ddd4f9f9acdce395c133f0b2f1e99c7be4

Observation 053635ec-8fa5-4586-893b-74065e6dea03 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula , " * write output.state after.block = add.period write newline

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:51.932555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:51.932555Z digest=sha256:f7f1513c3a75dd4849b58b1724022ffc6f2ba098757220977e4fdf9060e6c51f

Observation 6e0c6003-1d1e-4337-b5c2-2afbe7966f73 · outbound

This paper cites write newline.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula write newline

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T11:15:51.938270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:15:51.938270Z digest=sha256:a18ef4028db133f6dabd691687ab4337c90f141757b8ddb7fbafb5b3621457b1

Pith citing papers

Observation 2f0b066e-85a7-4f27-8785-9cce5677ba35 · inbound

Intelligibility of Text-to-Speech Systems for Mathematical Expressions cites this paper.

Intelligibility of Text-to-Speech Systems for Mathematical Expressions MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:39:50.458803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T10:39:47.854823Z digest=sha256:36cb442063b12f1710ccdd2a1173d1096a64c2288410c3a55552213f413bd15a