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Paper Citation Record · LEDGER

Image-to-Markup Generation with Coarse-to-Fine Attention

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1609.04938.

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

pith.paper-citation-record.v1
1609.04938 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:21:18.897038Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-16T09:42:12.563796Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0f1374bd-9b1e-4a17-9169-eb6d97b619aa · inbound

Translating Math Formula Images to LaTeX Sequences Using Deep Neural Networks with Sequence-level Training cites this paper.

Translating Math Formula Images to LaTeX Sequences Using Deep Neural Networks with Sequence-level Training Image-to-Markup Generation with Coarse-to-Fine Attention

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T10:21:18.897038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:21:18.897038Z digest=sha256:375a83641d216ab3a62ae307371d99ea659e0f9bfe5c80c7a21fdea2391a9922

Observation cb2ee6e6-1ffe-4aa0-99d0-f54e35176695 · inbound

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

Nougat: Neural Optical Understanding for Academic Documents Image-to-Markup Generation with Coarse-to-Fine Attention

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-16T09:42:12.566281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T09:42:12.463309Z digest=sha256:bc5c8b83b5bd64cf351b27f5d1d45853dcaf4627ee85b6ae6010a93493f3f79d

Observation 59c0a867-cb95-4ab9-ad6a-70a87a5abe78 · inbound

Automated LaTeX Code Generation from Handwritten Math Expressions Using Vision Transformer cites this paper.

Automated LaTeX Code Generation from Handwritten Math Expressions Using Vision Transformer Image-to-Markup Generation with Coarse-to-Fine Attention

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-11T22:05:38.240074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:05:38.240074Z digest=sha256:963cabe2e6deb2430f8e6db886c826ca34aa166d955e87de97a821f639debc3f

Observation ea64f2d0-753d-4f7d-83c2-b7cfd2fad77a · inbound

RFL: Simplifying Chemical Structure Recognition with Ring-Free Language cites this paper.

RFL: Simplifying Chemical Structure Recognition with Ring-Free Language Image-to-Markup Generation with Coarse-to-Fine Attention

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T18:46:07.226561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:46:07.226561Z digest=sha256:34da784a8b56251bace2a21f7c430703520c5644bbe0bd00770d656cd5fa1483

Observation 682af26a-c8b6-492e-ba35-32edade64f8a · inbound

Ming-Omni: A Unified Multimodal Model for Perception and Generation cites this paper.

Ming-Omni: A Unified Multimodal Model for Perception and Generation Image-to-Markup Generation with Coarse-to-Fine Attention

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:07.289619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:07.289619Z digest=sha256:f1cbb5a76c3e801c7e8d6a574dd428ca00c068b329ba33dd01cd0a89c4e6e636

Observation bfc07811-21e5-4d54-8011-1bb444804e67 · inbound

MFH: Marrying Frequency Domain with Handwritten Mathematical Expression Recognition cites this paper.

MFH: Marrying Frequency Domain with Handwritten Mathematical Expression Recognition Image-to-Markup Generation with Coarse-to-Fine Attention

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T21:19:37.079021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:19:37.079021Z digest=sha256:fc580f4e75f52aba1c61caf14506e1f272d0864ac8231836d2268d627cf381cf

Observation 44802380-111a-4a0e-921c-1623f9503cba · inbound

PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents cites this paper.

PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents Image-to-Markup Generation with Coarse-to-Fine Attention

Reference 96

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T04:41:22.180510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T04:40:34.756842Z digest=sha256:ed80a28f005a07adcba8a379e338b63a192092bd72c672bef4252a0e426f1d5e