Pith. sign in

Paper Citation Record · LEDGER

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models

As of 23 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 2 inbound Pith citation observations for arXiv:1906.12170.

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

pith.paper-citation-record.v1
1906.12170 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T16:35:10.339654Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:52:24.908884Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T16:36:02.430723Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact8
  • verified fuzzy22
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44548127-a79e-4b78-8db9-346a9751de62 · outbound

This paper cites The visual information such as lip movements, facial expression, tongue and teeth movements helps us in understanding other person’s speech when audio is interrupted or corrupted.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models The visual information such as lip movements, facial expression, tongue and teeth movements helps us in understanding other person’s speech when audio is interrupted or corrupted

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.091294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:c5a515ec399e4eceb532271cc3e8581ba93aed0f39b54156ff8670c2e4eaac9f

Observation 366599a2-9c8c-4dfe-904b-f2a1affa4cf8 · outbound

This paper cites LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T16:36:02.433922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:e833bce75cdb07a9f7afe3fbf877fc95a7c7d7031b64ea237cf74b2efa625b4c

Observation 38f934d7-daad-4a63-9e37-3b8378145d0c · outbound

This paper cites 3D-2D-CNN-BLSTM Network In this section we describe the architecture of proposed 3D-2D- CNN-BLSTM network.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models 3D-2D-CNN-BLSTM Network In this section we describe the architecture of proposed 3D-2D- CNN-BLSTM network

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.057735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:1b17a62bb431e8de35905e1cd7dd1bf7e1253849a07c6c0cacaa804dd87b9e31

Observation 990b7058-5a59-41b2-a3c4-fabeb188ef1c · outbound

This paper cites And from second epoch all full sentences are included.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models And from second epoch all full sentences are included

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.080209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:f56464dd425ab216d2eb75bfa885b9219ebb8a3bac50c085295e0d3fe4ee8bc6

Observation 1fe39750-1f17-4fc8-8817-a68ad9ce7aae · outbound

This paper cites Datasets 4.1.1.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Datasets 4.1.1

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.113239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:af6097c527b4a1b7c7d38e55203c6fb2ea2202f3acab24034b4ef2b164aab6c9

Observation 5eb9b46f-dae6-4d32-9354-01e4304cbf9d · outbound

This paper cites For Indian English (In-En) dataset we report re- sults on unseen dataset.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models For Indian English (In-En) dataset we report re- sults on unseen dataset

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.138885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:9bd393092c340ca4193b094d8b79248fefa4b3bb30e415e62dc2036c55b5bd16

Observation 7303b8fc-095a-4e6b-8043-c52edad867cf · outbound

This paper cites an unresolved cited work.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-25T16:36:03.065597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:dddf78b33c03cd5c23d652570248fabb9b6b705258948194bab66cb57386fa6f

Observation 0e1e75dd-5269-4228-a474-f24c2d8279e3 · outbound

This paper cites Multi-task Learning Of Deep Neural Networks For Audio Visual Automatic Speech Recognition.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Multi-task Learning Of Deep Neural Networks For Audio Visual Automatic Speech Recognition

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-25T16:36:02.419958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:5da04ab7a0b24fce43151e75dd9f0f146f52fa07ead99421da20be37090f99e6

Observation 2b1cb076-e5e5-4613-ab4c-f12559d53db0 · outbound

This paper cites Deep Audio-Visual Speech Recognition.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Deep Audio-Visual Speech Recognition

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-25T16:36:02.439773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:2fc26dcf1444240a376507585d34dc845b092c93b192a318b0aaea67c60c0d64

Observation f2729b52-09d9-4e4e-ba26-892e043f3433 · outbound

This paper cites Global SNR Estimation of Speech Signals using Entropy and Uncertainty Estimates from Dropout Networks.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Global SNR Estimation of Speech Signals using Entropy and Uncertainty Estimates from Dropout Networks

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-25T16:36:02.462970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:856ecc5052424a9b5b9726db94c15401f2ea85044d7fd2384ca402149294fe62

Observation 484e6f14-13ca-4ebf-b7bc-756c69927246 · outbound

This paper cites A review of re- cent advances in visual speech decoding.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models A review of re- cent advances in visual speech decoding

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.135009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:56d8a23a7f451e5267dcd33a4bfbaf80d02d3301bc717b66fc08fe040b083e7c

Observation c49243ce-c355-41f1-90d7-03674f4a64dd · outbound

This paper cites Comparison of hu- man and machine-based lip-reading.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Comparison of hu- man and machine-based lip-reading

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.124402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:44a3e52a71fc4727010adb1e89753d0928839707d2fd0cf31333fe55bb4ebbcb

Observation 81fe0974-1594-440d-99ca-0d7fcdfe5367 · outbound

This paper cites Lip reading sentences in the wild.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Lip reading sentences in the wild

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.128122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:4c6bbb57c579a56d358b38e9678c9a6e4526bf1f2c64f65c3c55c35d1aa63100

Observation 21485365-86ea-4efe-a50f-0c7612c12d47 · outbound

This paper cites LipNet: End-to-End Sentence-level Lipreading.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models LipNet: End-to-End Sentence-level Lipreading

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-25T16:36:02.468605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:ba3528342efca40e7a7c18fb508abac9aede1e952ed64aa2b256989527ad856f

Observation 9fc33bd8-1a16-4b5f-bc57-3d88f71d6bf3 · outbound

This paper cites Lcanet: End-to-end lipreading with cascaded attention-ctc.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Lcanet: End-to-end lipreading with cascaded attention-ctc

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.102246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:b95be871971fc0a51fb37148162ad92301d6c4ef2f1c2e4df1b8f8ddaff773be

Observation a823eac1-e02a-4e26-941c-a3665ea12a1a · outbound

This paper cites Con- nectionist temporal classification: labelling unsegmented se- quence data with recurrent neural networks.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Con- nectionist temporal classification: labelling unsegmented se- quence data with recurrent neural networks

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.061948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:a5d782edb0360276ca3665b47ea9ff384bf6a5b83113e29df2a51889e5b56f47

Observation 2f20c3a1-ad38-4869-bfd1-89087f89570d · outbound

This paper cites Audio visual speech recog- nition using deep recurrent neural networks.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Audio visual speech recog- nition using deep recurrent neural networks

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.105783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:e3ea02d98117b0ead762b944507c3cac0735132f5646d21908b758374d6a68c6

Observation b32c8470-80a0-4196-9516-02eab1f8b85c · outbound

This paper cites Direct Acoustics-to-Word Models for English Conversational Speech Recognition.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Direct Acoustics-to-Word Models for English Conversational Speech Recognition

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-25T16:36:02.457493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:e10b7383dafde0c1f37b2950b675e10a5b122475619f84e267055235f299bd37

Observation 2dcdefcd-5958-46c8-aab5-a07a0a7d8d3d · outbound

This paper cites Audio-visual deep learning for noise robust speech recognition.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Audio-visual deep learning for noise robust speech recognition

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.109538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:b058ee54dfa36686c4b56e42a3400aca2da285e301fccb6fd9ba129095887945

Observation c366a08d-20cc-40bc-bf16-3f8b21833595 · outbound

This paper cites Lip reading in the wild.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Lip reading in the wild

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.072833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:0e7b7851b3aa100cd7860785c3139e48a8c0ec0575e56acbc6f45e1fbc8501cf

Observation 40591f93-606f-4190-bb1d-83aabeb8fc19 · outbound

This paper cites Dynamic stream weighting for turbo-decoding- based audiovisual asr.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Dynamic stream weighting for turbo-decoding- based audiovisual asr

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.083945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:e1fe6a98ef7cff467e5f2665f7bd329425ac9debe8f7536abff526acfbdfcb1f

Observation dc85fcbd-3e69-4517-9311-b33dd2d3336d · outbound

This paper cites End-to-end visual speech recog- nition with lstms.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models End-to-end visual speech recog- nition with lstms

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.087613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:73db5b589d6f043f807d454fbc09cbf0630b5ae5ecf8518af37a5b1a9fef5121

Observation edc9e057-300b-4a64-be93-6801807c420c · outbound

This paper cites Curricu- lum learning.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Curricu- lum learning

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.094691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:2d76e201b932266399c76a38d8c9bb901dd374f0a5daa443407436bfdd39c852

Observation 707fde74-bbc6-4fa9-9026-e302266e13ca · outbound

This paper cites Audio visual speech recognition.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Audio visual speech recognition

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.098374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:9a6ae42ce1ad9526e9f5e7ada6bdd20514f48319e37e3c3adcd89f293db9446c

Observation a7991993-3449-40a1-b007-690edb231c2a · outbound

This paper cites Large-Scale Visual Speech Recognition.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Large-Scale Visual Speech Recognition

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-25T16:36:02.446123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:edc3057e84a7fb149f9688dbd018d419bd704991e992525b404ef9e320cf536a

Observation c6269990-c3ee-4412-8717-e0880b27af99 · outbound

This paper cites Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-25T16:36:02.451826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:9b5e56f0755d591c6ac7f4ebb034762b10522b89adba233529791fc5580d897b

Observation 8753e399-d27b-4095-8247-2fcebce13c66 · outbound

This paper cites The influence of video sam- pling rate on lipreading performance.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models The influence of video sam- pling rate on lipreading performance

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.116912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:6fa856b081358a8649b2d119178a8117fc3137f84939c1d5b8532de210b989b4

Observation 14cef6f2-f12b-4254-a8b0-9a1772fd5a49 · outbound

This paper cites An audio- visual corpus for speech perception and automatic speech recog- nition.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models An audio- visual corpus for speech perception and automatic speech recog- nition

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.076394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:cf62a19c5d65f8dd879ca8b936dbef6d0fc10bbd79b2faa6fb11837330539d94

Observation 8c872520-0a78-4144-9f32-915724795d7c · outbound

This paper cites Yolo9000: better, faster, stronger.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Yolo9000: better, faster, stronger

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.069143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:eb7647ee5b6bd036c68edf25a826ee75a18c84fb27f73a1d6cc94cfdad87f405

Observation a397527c-1b55-46b9-b680-865bb331f1d1 · outbound

This paper cites Tensorflow: a system for large-scale machine learning.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Tensorflow: a system for large-scale machine learning

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.131644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:0d6fe1de59fa6fc0d4a8f7f241f7f817f899fb592ff1191be3b9db8587822011

Observation f7ad7447-4ec7-43e5-9293-54b615e980de · outbound

This paper cites Adam: A Method for Stochastic Optimization.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models Adam: A Method for Stochastic Optimization

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-25T16:36:02.427678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:d9457ae07f75ec177123622e90b3230f3311a0dc228959d27d534990809e38b2

Observation 35e5f11a-7a66-4f86-894d-0219c2c737ca · outbound

This paper cites The kaldi speech recognition toolkit.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models The kaldi speech recognition toolkit

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T16:36:03.120622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:5e04e005770cb9e3d34824a149985e5ee9b976ae69132501c4b5060b95e3f3e3

Pith citing papers

Observation 366599a2-9c8c-4dfe-904b-f2a1affa4cf8 · inbound

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models cites this paper.

LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T16:36:02.433922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T16:35:10.339654Z digest=sha256:e833bce75cdb07a9f7afe3fbf877fc95a7c7d7031b64ea237cf74b2efa625b4c

Observation 257a766a-7574-493e-8e32-4808477c16c7 · inbound

Integrating Persian Lip Reading in Surena-V Humanoid Robot for Human-Robot Interaction cites this paper.

Integrating Persian Lip Reading in Surena-V Humanoid Robot for Human-Robot Interaction LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T15:52:24.908884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:52:24.908884Z digest=sha256:9928b2655ec5e0d3e0bd2ed60c846337c96ed5cb892c8d488d3d2eb3dbe41fca