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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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  • unresolved42
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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=sha256:67a9633b91d2a6ef39b667bdf150d3e27958a27023799afa737ea21265926b35

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=sha256:34a0675e5121e3ff8501d31805d8c9d9f3bca3f96bbcfa9065a1b92ce02884fa

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=sha256:6a618fa8896d65ba204f37dc1d291539f66ab383b2cfee6741722f8b67ace066

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:af455a16cb7ec9c67ae0d40395f29338d206bc1eff50bd4043685a397cc29958

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=sha256:5df9b1935e0bf386ec24c72d598cc003d8c7cf8298078611101fa26307325630

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=sha256:9659c7e39f7a82e074a0a52a2f9ed32c598aa90803faca82d1e3af2f5c54db2a

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=sha256:82906bf815980ffd6cdd78e047d927a576a5c8f96ab53ea65117813797790457

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:d340df9c29c3e3186b3e83853f084b25720a0f784cd3b3ebb81afb635164f3f2

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=sha256:5ce61adc462037396b489b998f807ee66efb3108c3a1f9323cfb78fd8769c02b

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=sha256:5437704dc6ed88b2e628633e475095b5795041e3b8f0a6a720db5e37a0130f62

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=sha256:5fc990d2d2217c559fd7ea8fa3422fc47e095d4d2abb90d5e997c09a4892dd73

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:ef5e2114997328b8a97e2d48fa00ce4f538084d8ce494a38f4b395e4384836ac

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:b87f61cf1374f26cd90e7e0f851bc02ab0fd3e72c62e83a5baf3587d359aa4b1

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=sha256:67416d59d91a43f4a5f6b27957a0fb7366a9d8b0be76e974fdb39cc38780bd8d

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=sha256:298ada5b1291e4e33cdc62d2a6a8c3e51abeee34c2fbe8bccc470d5843352d38

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:e95fbe8324af68764c1e9468fc2dc21e3558fb6a3c3c7577d6049c9be9235426

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:b5d5b3d7029cb60ecc28e0f6d10631a2bf68ef087353961a1b1c5103f0d41034

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:c9826d708e2a831b92d4d9fcb93f47333b09eaac1f4df6d12ce55c1a20f5d730

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=sha256:5bcd4aa1dc4248dcd1519a7c69e5de68942762e7e0fc37d468bc4079b8513c08

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=sha256:94d30e15551f255a7c77162f34ff2a7e36b4720a9fddd0160ec32398e3913803

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=sha256:97a8ae7b4488bb8a72cccda6b3c642649b604aeee92313f9d0622ae19adf2b93

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=sha256:28bf6940dc7b981e90692675bd1aef3f8c73d942b5cf9f6d613029b07b4563fd

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=sha256:7b22945873c0eb3feccc97b7718fd6e1d2a671a4744d1a9c6cad8d5cb3538ab8

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=sha256:587b52dd6e092c6f6a26738ea4357fce946eee6d53effedfa31373ef2a5d2b28

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:c1e4255011848c8242c1a631dc8f463045795871c51719cdfb8ae3b26a813f9d

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=sha256:8b98f896818a676141bee187b1d4170b4dc0416e61e11f95af956ba81d19751b

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:ac4b1bbd47b1cf412e676d17f63a2d75fb1aa0fe8d1cb528f44149621fcf0046

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=sha256:93db6c4edea94e3e173196ccf47d77d3c3959a470885786e3e98eefd96c123fa

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=sha256:96668ad96921b816d490a8a7a0816048cf1bb4a90dccf7826990433189e661a3

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=sha256:4154c8d7ba629cbfed936856d0ad3006259141353d22201d471f0f536b92f75c

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=sha256:5de3c93c9f7f3c88bfc0cb13ebc05399560c87271eed262f79cb9db83217b7e5

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=sha256:13c8b331c07ca30e01ba3e227fb5c8b2cb8b4fd9b19576d97602f6e262b558a4

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

Reference 34

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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:e1ff681153042e95bda698b83a726c741d2fe42b9d36c099e1a47cb0c0499e7e

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=sha256:3b43fd34f39d6e6c31dc7779324380a2c8f7c8a358fca2950541201fe4f06b8f

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=sha256:9d5e749e7f33a313cbea77d95b0957b457e6908bc0e7a14c9f7a767e96166fdc

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

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source=arxiv_source observed=2026-08-04T17:40:28.998121Z digest=sha256:4dcf5aa0c266d89aaac3f9fc208597039b842d93ded4266c1f49f3be2699bd41

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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no resolver link, observed 2026-08-04T17:40:29.051158Z

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source=arxiv_source observed=2026-08-04T17:40:29.051158Z digest=sha256:226617e661fd31f30c7cbc555b3597e89f3253a3c59d882dc8e95cf557b40b40

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T17:40:29.090174Z digest=sha256:f419dce9e6b7c891e4a1d6df02a2d090b02cbf072ed1d2b520f8fb6ab3cc8db5

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=sha256:9561dda21b1b0c111ebe5c5c727ab999ba1355d1d6d8d55e115c182fea146221

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=sha256:176301c8fa3312fc91637bdcb000ad28720507b5a223b07f77a5511ab46f39a3

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=sha256:8f4ac436589b3fd1501393824f8c92b44803ed41fa228f3c84832dc671eadae3

Pith citing papers

No inbound Pith citation observations are available.