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Paper Citation Record · LEDGER

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction

As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2509.10802.

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

pith.paper-citation-record.v1
2509.10802 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:40:29.289127Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation 8fbd62f3-2875-44e5-9bb4-0f997ee5b67c · outbound

This paper cites (2022), Learning of cluster-based feature importance for electronic health record time-series , International Conference on Machine Learning, PMLR, pages 161--179.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2022), Learning of cluster-based feature importance for electronic health record time-series , International Conference on Machine Learning, PMLR, pages 161--179

Reference 1

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Observation 19958067-bbe1-4e47-a3d5-9307f5047aa9 · outbound

This paper cites (1968), Financial ratios, discriminant analysis and the prediction of corporate bankruptcy , Journal of Finance, 23(4), 589--609.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (1968), Financial ratios, discriminant analysis and the prediction of corporate bankruptcy , Journal of Finance, 23(4), 589--609

Reference 2

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source=arxiv_source observed=2026-08-04T17:40:26.670701Z digest=sha256:8e9257c45768468c796bb11cf2361272a15485182b503aeed027e94058882a78

Observation 0ee90775-cf9d-40da-bc22-0e24170f4d6a · outbound

This paper cites (2022), Has the Evergrande debt crisis rattled Chinese capital markets? A series of event studies and their implications , Finance Research Letters, 50, 103247.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2022), Has the Evergrande debt crisis rattled Chinese capital markets? A series of event studies and their implications , Finance Research Letters, 50, 103247

Reference 3

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source=arxiv_source observed=2026-08-04T17:40:26.744762Z digest=sha256:4e3e912d599045278f1f4244b3f1ec3ea075f1ba34da80b801b65077c81f9cad

Observation aba5ccbb-8031-4233-985d-93c147c749bc · outbound

This paper cites (2023), Does foreign competition affect corporate debt maturity structure? Evidence from import penetration , International Review of Financial Analysis, 86, 102539.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2023), Does foreign competition affect corporate debt maturity structure? Evidence from import penetration , International Review of Financial Analysis, 86, 102539

Reference 4

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source=arxiv_source observed=2026-08-04T17:40:26.825772Z digest=sha256:f690c21a5f736a0c5d0223f328c18e415c481ef12d1280a994be3c6494bbd274

Observation 08ad05bd-075f-4897-9e3b-d76fce822d46 · outbound

This paper cites (2023), Systematic default and return predictability in the stock and bond markets , Journal of Financial Economics, 149(3), 349--377.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2023), Systematic default and return predictability in the stock and bond markets , Journal of Financial Economics, 149(3), 349--377

Reference 5

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source=arxiv_source observed=2026-08-04T17:40:26.869965Z digest=sha256:fbb091bee1a4012c23fb1afdc526a1736fb5a16e0111861fc61a645482033d2f

Observation 047df6c3-7ba3-41fa-b329-4fe331749c5d · outbound

This paper cites (2017), Patient subtyping via time-aware LSTM networks , Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 65--74.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2017), Patient subtyping via time-aware LSTM networks , Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 65--74

Reference 6

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source=arxiv_source observed=2026-08-04T17:40:26.944321Z digest=sha256:7bd7beeff96265e2177282b642979350cf1380a44bacf50b2620b95b64b74e63

Observation 6e6b6b43-a492-48ad-a0b7-220d0a27152b · outbound

This paper cites (2024), Predicting financial distress using multimodal data: An attentive and regularized deep learning method , Information Processing & Management, 61(4), 103703.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2024), Predicting financial distress using multimodal data: An attentive and regularized deep learning method , Information Processing & Management, 61(4), 103703

Reference 7

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source=arxiv_source observed=2026-08-04T17:40:27.002596Z digest=sha256:bb141b400238c6fb0e8cf3496730d0ab6236a94042c16084f979d069051958a8

Observation 4ef7b97a-be43-4be3-b569-5c2a1e960224 · outbound

This paper cites (2025), US Treasury market default risk and global interbank liquidity risk , Borsa Istanbul Review, 25(1), 66--78.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2025), US Treasury market default risk and global interbank liquidity risk , Borsa Istanbul Review, 25(1), 66--78

Reference 8

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source=arxiv_source observed=2026-08-04T17:40:27.068192Z digest=sha256:bfc3662688db183b23ca39e645abfa3a5064e0f644b4ad25a2099206a22a98b2

Observation f40cca09-deb9-4a79-a3f5-d2a4f9b23319 · outbound

This paper cites (2025), Bond defaults in China: Using machine learning to make predictions , International Review of Finance, 25(1), e70010.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2025), Bond defaults in China: Using machine learning to make predictions , International Review of Finance, 25(1), e70010

Reference 9

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source=arxiv_source observed=2026-08-04T17:40:27.139720Z digest=sha256:eabd4b849241cedb50cc5cb354fbdee52fda91448fb4207b7a304c7d251a8feb

Observation 1db9a341-61b1-4d7f-a59e-fb7fb03fda20 · outbound

This paper cites (2025), Deep learning for economists , Journal of Economic Literature, 63(1), 5--58.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2025), Deep learning for economists , Journal of Economic Literature, 63(1), 5--58

Reference 10

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source=arxiv_source observed=2026-08-04T17:40:27.201097Z digest=sha256:e5415d82e430857dd62c1d9db3f500beef69ff62a2e1da4a4c9631d46993cefc

Observation 6872b519-263c-4919-b1d6-7c3cf856f55d · outbound

This paper cites an unresolved cited work.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-04T17:40:27.290932Z digest=sha256:c37859da0ee3f5d60c7818c2026ae1f403a8703562a14bdeef8b6cbc78b352b7

Observation db341f20-d775-47e8-bbaa-278c52036893 · outbound

This paper cites (2012), Multiperiod corporate default prediction—A forward intensity approach , Journal of Econometrics, 170(1), 191--209.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2012), Multiperiod corporate default prediction—A forward intensity approach , Journal of Econometrics, 170(1), 191--209

Reference 12

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source=arxiv_source observed=2026-08-04T17:40:27.332911Z digest=sha256:db4e6520dd4b4bc39210eda2b4001aa2edaf3d87e91d4c4a3c5562bc3d972f9d

Observation e7ade6fc-12f8-41d0-acf0-6f3b9d2f0f82 · outbound

This paper cites (2023), Prediction of corporate credit ratings with machine learning: Simple interpretative models , Finance Research Letters, 58, 104648.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2023), Prediction of corporate credit ratings with machine learning: Simple interpretative models , Finance Research Letters, 58, 104648

Reference 13

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source=arxiv_source observed=2026-08-04T17:40:27.388984Z digest=sha256:13667482db548e82cf4c857a3eacd947622f5931e75469186a881ce59458866d

Observation bddee021-84a7-4a9c-8a8e-78be917f9cb5 · outbound

This paper cites (2011), Corporate bond default risk: A 150-year perspective , Journal of Financial Economics, 102(2), 233--250.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2011), Corporate bond default risk: A 150-year perspective , Journal of Financial Economics, 102(2), 233--250

Reference 14

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source=arxiv_source observed=2026-08-04T17:40:27.469002Z digest=sha256:9f3937ac9e10cf03b07a85eeb5667d920b5bc377067c09d4ec517befca3f383d

Observation 09f594b0-e6d2-422e-b879-806001d0eda1 · outbound

This paper cites (2024), Analyzing credit spread changes using explainable artificial intelligence , International Review of Financial Analysis, 94, 103315.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2024), Analyzing credit spread changes using explainable artificial intelligence , International Review of Financial Analysis, 94, 103315

Reference 15

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source=arxiv_source observed=2026-08-04T17:40:27.531048Z digest=sha256:0d57dad75ee80f5324e84ffcdeb16a2a76441bac67d0e2cb4b78892646f23c88

Observation d6632a98-108d-4136-8bce-22cf7011dbe1 · outbound

This paper cites and Stitz, L.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction and Stitz, L

Reference 16

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source=arxiv_source observed=2026-08-04T17:40:27.593395Z digest=sha256:244ecaaa8e768cd2d5478abd972efa0d29e5a17f8d333c4a8c1105ab3dd19b89

Observation 255d3da8-87c7-44e5-b3ff-9e606f5a5d49 · outbound

This paper cites (2023), Does prospectus readability matter for bond issuance pricing? Evidence from China , Pacific-Basin Finance Journal, 80, 102074.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2023), Does prospectus readability matter for bond issuance pricing? Evidence from China , Pacific-Basin Finance Journal, 80, 102074

Reference 17

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source=arxiv_source observed=2026-08-04T17:40:27.636500Z digest=sha256:dd8aa20f3608ba2ab769e62d6eb85e125cc0e885ed2d01ca511211801fa8c521

Observation 4e5971c1-a4f3-415d-bf57-f4e018addd16 · outbound

This paper cites (2024), Corporate bond default prediction using bilateral topic information of credit rating reports , International Journal of Financial Engineering, 11(03), 2443002.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2024), Corporate bond default prediction using bilateral topic information of credit rating reports , International Journal of Financial Engineering, 11(03), 2443002

Reference 18

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source=arxiv_source observed=2026-08-04T17:40:27.706169Z digest=sha256:661da46dae1e3c8d601d3a7d9d012d5d507f00f3d054dde22a1168ef3c3a26a3

Observation 13940390-73a9-4b63-a279-b3e1ce2bf43c · outbound

This paper cites (2019), Deep learning models for bankruptcy prediction using textual disclosures , European journal of operational research, 274(2), 743--758.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2019), Deep learning models for bankruptcy prediction using textual disclosures , European journal of operational research, 274(2), 743--758

Reference 19

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source=arxiv_source observed=2026-08-04T17:40:27.770682Z digest=sha256:8e19cf585289c6c7d2223bc0c63f20bdee3e8f212628e98008cc793c8a712ea7

Observation 3f9124f0-83b7-4c38-bc2b-bff9cf7fc2d4 · outbound

This paper cites (2024), A novel URP-CNN model for bond credit risk evaluation of Chinese listed companies , Expert Systems with Applications, 255, 124861.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2024), A novel URP-CNN model for bond credit risk evaluation of Chinese listed companies , Expert Systems with Applications, 255, 124861

Reference 20

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source=arxiv_source observed=2026-08-04T17:40:27.830306Z digest=sha256:b2f21e52b9b1ff318891d5d8157a4ed11c22fd0ca5533d7f762589520386f699

Observation 03acb290-97c1-459d-bbb3-a561124687d8 · outbound

This paper cites (2021), China's no-bailout reform: Impact on bond yields and rating standards , Journal of Banking & Finance, 133, 106282.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2021), China's no-bailout reform: Impact on bond yields and rating standards , Journal of Banking & Finance, 133, 106282

Reference 21

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source=arxiv_source observed=2026-08-04T17:40:27.886389Z digest=sha256:649618ad20f95803733a3144e6dd87b3356226a97f0f5d7b17ebc6909f90a06d

Observation 1694ba5f-5d6f-4a85-b2f5-883570876231 · outbound

This paper cites and Nasim, N.B.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction and Nasim, N.B

Reference 22

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source=arxiv_source observed=2026-08-04T17:40:27.916185Z digest=sha256:33f62b48de903b5217ffca786c9e3555884c967310fd3ebe56a33e7dfc525e08

Observation 5997b486-1755-40c2-836b-6436230324ca · outbound

This paper cites and Fabozzi, F.J.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction and Fabozzi, F.J

Reference 23

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source=arxiv_source observed=2026-08-04T17:40:27.995811Z digest=sha256:829a5b162f9eeffa930fdb3006a8ff3fbc75609b04ca8c0eb49ed7179ff8e861

Observation 98d85253-6aa2-47e0-9256-998ef1e7f610 · outbound

This paper cites (2023), Optimal GDP-indexed bonds , Review of Economic Dynamics, 51, 747--777.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2023), Optimal GDP-indexed bonds , Review of Economic Dynamics, 51, 747--777

Reference 24

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source=arxiv_source observed=2026-08-04T17:40:28.057914Z digest=sha256:620728cdf73a03890611937bfe3caaee50a9c0cbce9b04f0887247e26cf9bff9

Observation cefc294b-2be9-4735-9bb0-4bc43e6bc7a9 · outbound

This paper cites (2025), Explainable natural language processing for corporate sustainability analysis , Information Fusion, 115, 102726.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2025), Explainable natural language processing for corporate sustainability analysis , Information Fusion, 115, 102726

Reference 25

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source=arxiv_source observed=2026-08-04T17:40:28.108398Z digest=sha256:c860ea91297bab10bb6b56d10692cf41092b17f0bf881d8425f63b49e770b830

Observation 8286c03a-79e0-4ce9-beb8-287c0e4c0fb3 · outbound

This paper cites (2025), Forecasting China bond default with severe class-imbalanced data: A simple learning model with causal inference , Economic Modelling, 144, 106985.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2025), Forecasting China bond default with severe class-imbalanced data: A simple learning model with causal inference , Economic Modelling, 144, 106985

Reference 26

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source=arxiv_source observed=2026-08-04T17:40:28.190761Z digest=sha256:bdde10243c11628696b2aba2356f6c3fb731865ef17281f4524047e7fb15f73c

Observation 56bbeebf-bc93-4da2-8abe-185bd0648626 · outbound

This paper cites Study on Intelligent Forecasting of Credit Bond Default Risk.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction Study on Intelligent Forecasting of Credit Bond Default Risk

Reference 27

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source=arxiv_source observed=2026-08-04T17:40:28.263648Z digest=sha256:798616d907ebd9c0c2dc173ae36490698e68e48b51a927782f735b566e74a3f8

Observation 43a9d474-561a-49c4-9c3c-cb47f6899e9a · outbound

This paper cites and Olafsson, S.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction and Olafsson, S

Reference 28

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source=arxiv_source observed=2026-08-04T17:40:28.355132Z digest=sha256:be3c24c67b08201bb5afaa52d7cf08c73c4f87acedca3d932b786b1fc81f3be7

Observation 6c32ca3f-5ef8-409a-aae3-edcfca215e64 · outbound

This paper cites (2021), The value of text for small business default prediction: A deep learning approach , European Journal of Operational Research, 295(2), 758--771.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2021), The value of text for small business default prediction: A deep learning approach , European Journal of Operational Research, 295(2), 758--771

Reference 29

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source=arxiv_source observed=2026-08-04T17:40:28.413296Z digest=sha256:632d8b1ee818dee2f10dc2639bcaeaa45fc5effb0d67d63e142294ce1b93dc33

Observation 7e279ef3-a6f4-4607-b2dd-6b7a36f47dd3 · outbound

This paper cites (2023), A survey of sentiment analysis: Approaches, datasets, and future research , Applied Sciences, 13(7), 4550.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2023), A survey of sentiment analysis: Approaches, datasets, and future research , Applied Sciences, 13(7), 4550

Reference 30

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source=arxiv_source observed=2026-08-04T17:40:28.487522Z digest=sha256:d63e9cb3ae477b3f58cfc6aa2e2bc4a01e75acaefd9b4a0de4f81a2440c6373d

Observation db196bad-962f-46d1-b8c5-0a1e48bdc5f5 · outbound

This paper cites (2024 a ), Predicting systemic financial risk with interpretable machine learning , The North American Journal of Economics and Finance, 71, 102088.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2024 a ), Predicting systemic financial risk with interpretable machine learning , The North American Journal of Economics and Finance, 71, 102088

Reference 31

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source=arxiv_source observed=2026-08-04T17:40:28.560937Z digest=sha256:753f158c92772681d4e2bcbeb673eceffd03aecf47d9dba1dbc15e68f31a5fa4

Observation 56cdeb17-6b10-4f06-b03e-657c72337a1b · outbound

This paper cites (2024 b ), Unlocking the power of the topic content in news headlines: BERTopic for predicting Chinese corporate bond defaults , Finance Research Letters, 62, 105062.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2024 b ), Unlocking the power of the topic content in news headlines: BERTopic for predicting Chinese corporate bond defaults , Finance Research Letters, 62, 105062

Reference 32

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source=arxiv_source observed=2026-08-04T17:40:28.623458Z digest=sha256:e1ba0eab98e8057f04dd3844492b81e9ffa40dbbbcff21e673760a7c1f268a7d

Observation 91ffeafa-8b8b-4ed2-8e80-2fba24a21bcd · outbound

This paper cites Beyond the Black Box: Interpretability of LLMs in Finance.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction Beyond the Black Box: Interpretability of LLMs in Finance

Reference 33

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source=arxiv_source observed=2026-08-04T17:40:28.710142Z digest=sha256:aa56c702c04590554c0e9bcc92078b42c04c07acaf1301f097239fc5bd7dc325

Observation e3f0ecf7-3a98-421b-9bd6-1e4178f96ba8 · outbound

This paper cites (2025), Multi-modal deep learning for credit rating prediction using text and numerical data streams , Applied Soft Computing, 171, 112771.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2025), Multi-modal deep learning for credit rating prediction using text and numerical data streams , Applied Soft Computing, 171, 112771

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no resolver link, observed 2026-08-04T17:40:28.771138Z

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source=arxiv_source observed=2026-08-04T17:40:28.771138Z digest=sha256:986e3d28ebb2ca16fada5b88ca21dd13ea04f3cf4d1f504af6970427070ffb72

Observation db045b7a-80fc-46ef-9240-648f81b36479 · outbound

This paper cites (2017), Attention is all you need , Advances in Neural Information Processing Systems, Curran Associates, Inc., volume 30, pages 5998--6008.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2017), Attention is all you need , Advances in Neural Information Processing Systems, Curran Associates, Inc., volume 30, pages 5998--6008

Reference 35

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no resolver link, observed 2026-08-04T17:40:28.845132Z

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source=arxiv_source observed=2026-08-04T17:40:28.845132Z digest=sha256:2220a9eb2780201b67ac76592387aa8cedcc450e99ef0a43ff31c49795ea2355

Observation 6c79f640-f839-4b9d-b28b-15eadb0f4fc7 · outbound

This paper cites and Ma, X.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction and Ma, X

Reference 36

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no resolver link, observed 2026-08-04T17:40:28.913440Z

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source=arxiv_source observed=2026-08-04T17:40:28.913440Z digest=sha256:58bbd63d4fdc756c92928b379a8f43abafb0ac72915421d864a4fd610e4dd0ab

Observation 4843f5b9-efef-4002-89a6-711d7a2f39d1 · outbound

This paper cites (2025), Measuring cross-modal interactions in multimodal models , Proceedings of the AAAI Conference on Artificial Intelligence, volume 39, pages 21501--21509.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2025), Measuring cross-modal interactions in multimodal models , Proceedings of the AAAI Conference on Artificial Intelligence, volume 39, pages 21501--21509

Reference 37

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no resolver link, observed 2026-08-04T17:40:28.998121Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T17:40:28.998121Z digest=sha256:b92333df8be343001d054e6ad96f90883ed127c80c11d7d34a6504107deea957

Observation ea509a8f-81a8-4ea1-841b-d0e3a920b8e8 · outbound

This paper cites (2024), The impact of readability of risk disclosures in bond prospectuses on credit risk premium , Research in International Business and Finance, 70, 102310.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction (2024), The impact of readability of risk disclosures in bond prospectuses on credit risk premium , Research in International Business and Finance, 70, 102310

Reference 38

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source=arxiv_source observed=2026-08-04T17:40:29.051158Z digest=sha256:06f5c2aa10851a97b807a7f0232ed4f1556550c415da2331609873d55b799142

Observation 07485328-2174-4c8b-89a8-478c3a415369 · outbound

This paper cites A Method for Evaluating the Interpretability of Machine Learning Models in Predicting Bond Default Risk Based on LIME and SHAP.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction A Method for Evaluating the Interpretability of Machine Learning Models in Predicting Bond Default Risk Based on LIME and SHAP

Reference 39

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no resolver link, observed 2026-08-04T17:40:29.090174Z

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source=arxiv_source observed=2026-08-04T17:40:29.090174Z digest=sha256:8e3cd5942a51ad6cf85129ccac750937a855e824de20cd14329926f8bef0ddb5

Observation 8b2a2164-4831-4830-a875-bb6f286de4e1 · outbound

This paper cites and Wei, X.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction and Wei, X

Reference 40

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no resolver link, observed 2026-08-04T17:40:29.142864Z

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source=arxiv_source observed=2026-08-04T17:40:29.142864Z digest=sha256:874eb39e5aa8c5817dee844fc29d38934381577b15ff407472bfdc71bcc28c13

Observation ec0cf2c5-5033-4f76-a893-9bd285c7c05e · outbound

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

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction , " * write output.state after.block = add.period write newline

Reference 41

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no resolver link, observed 2026-08-04T17:40:29.219008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:40:29.219008Z digest=sha256:1b91d76c4e160e29ab12b416ed1b966b42d57c3a66249d242fa13e6c5bf1033e

Observation 3c801323-c5ab-4a2e-ae8c-0888413bb7a5 · outbound

This paper cites write newline.

Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction write newline

Reference 42

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no resolver link, observed 2026-08-04T17:40:29.289127Z

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source=arxiv_source observed=2026-08-04T17:40:29.289127Z digest=sha256:dbd38575480a77abf119ea85fea63e30ff60a0978c810530a983520343514662

Pith citing papers

No inbound Pith citation observations are available.