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Paper Citation Record · LEDGER

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach

As of 20 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2506.23767.

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

pith.paper-citation-record.v1
2506.23767 v2

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:45:16.702498Z

measured 80 of 80 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 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

80 of 80 outbound references displayed

  • verified exact11
  • verified fuzzy48
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc375611-d276-484c-a11c-4bbcb12eabbb · outbound

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

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach , " * write output.state after.block = add.period write newline

Reference 1

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c221f3ce-1895-4c12-b22c-93caae4e17ac · outbound

This paper cites write newline.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach write newline

Reference 2

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unresolved
no resolver link, observed 2026-08-06T21:45:09.112233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 56ab120d-b8ae-4c8f-8a87-0673d28d7cf8 · outbound

This paper cites an unresolved cited work.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Unresolved cited work

Reference 3

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unresolved
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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.

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Observation 60fe45df-ee96-4cab-84ed-d271b07ad6c6 · outbound

This paper cites an unresolved cited work.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Unresolved cited work

Reference 4

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verified exact
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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.

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Observation 0b50d376-44c1-4a76-b34b-29b3bab8d701 · outbound

This paper cites an unresolved cited work.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Unresolved cited work

Reference 5

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raw_fallback, observed 2026-08-06T21:45:30.098043Z

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.

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Observation e9945d91-6520-4181-99a8-0e61141abe80 · outbound

This paper cites The Journal of Finance 23(4):589--609, ://dx.doi.org/https://doi.org/10.1111/j.1540-6261.1968.tb00843.x.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach The Journal of Finance 23(4):589--609, ://dx.doi.org/https://doi.org/10.1111/j.1540-6261.1968.tb00843.x

Reference 6

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unresolved
no resolver link, observed 2026-08-06T21:45:09.539525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d1271a4f-4433-4da6-a584-368d4fc74735 · outbound

This paper cites MIS Quarterly 30(1):79--97, ISSN 02767783.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach MIS Quarterly 30(1):79--97, ISSN 02767783

Reference 7

Resolution
verified fuzzy
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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.

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Observation 8ca63335-ecf6-4a9b-98bd-31fadf60275f · outbound

This paper cites MIS Quarterly Executive 19(4):259--278.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach MIS Quarterly Executive 19(4):259--278

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:29.765539Z

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.

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Observation 29b5ccf2-39f1-4fcf-9dc4-128952d0a531 · outbound

This paper cites European Journal of Operational Research 202(3):789--801, ISSN 0377-2217, ://dx.doi.org/https://doi.org/10.1016/j.ejor.2009.06.023.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach European Journal of Operational Research 202(3):789--801, ISSN 0377-2217, ://dx.doi.org/https://doi.org/10.1016/j.ejor.2009.06.023

Reference 9

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verified exact
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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.

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Observation 8109cb4e-645e-4f16-95d5-b80807073e35 · outbound

This paper cites Management Science 67(7):4004--4031.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Management Science 67(7):4004--4031

Reference 10

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verified fuzzy
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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=arxiv_source observed=2026-08-06T21:45:09.978262Z digest=sha256:2409d865e2fc3c048a80b3ce0370d799e933b2b404bc0913b716aa278e83d787

Observation a4750564-d89d-43ea-b7ca-637534d2e8b8 · outbound

This paper cites American Economic Review 97(2):159--165.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach American Economic Review 97(2):159--165

Reference 11

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verified fuzzy
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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=arxiv_source observed=2026-08-06T21:45:10.067569Z digest=sha256:16ca9542728fd3bfafe08a74443198d86e939549e2e8d7fc712e12d299c1d89f

Observation b91c9712-02bb-4697-a240-27e452668453 · outbound

This paper cites Computational Economics 57:203--216, ://dx.doi.org/10.1007/s10614-020-10042-0.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Computational Economics 57:203--216, ://dx.doi.org/10.1007/s10614-020-10042-0

Reference 12

Resolution
verified exact
doi, observed 2026-08-06T21:45:18.475474Z

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=arxiv_source observed=2026-08-06T21:45:10.173601Z digest=sha256:23a54973b4b80b633908a4eb6b30cc080c4ce3ba2de1a2959a7f5a17898757ad

Observation 264fc0a7-2fca-4b3e-8822-7b31bbf7a589 · outbound

This paper cites Journal of Financial Research 39(2):145--178.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Journal of Financial Research 39(2):145--178

Reference 13

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verified fuzzy
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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=arxiv_source observed=2026-08-06T21:45:10.269938Z digest=sha256:f34c08a0f3a4d16505210ac2b2ddfa8038f83fb6109fdb16b627cbc09141bc05

Observation 53c0cf34-7971-4333-8b43-252a96840cac · outbound

This paper cites 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR'05), volume 1, 539--546 (IEEE).

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR'05), volume 1, 539--546 (IEEE)

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T21:45:28.961917Z

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=arxiv_source observed=2026-08-06T21:45:10.340016Z digest=sha256:056d2d216c1844cff4f0a0f977cc4d7acc7ed4868ed19551a2fffb6b0c6be0f3

Observation 938da607-f872-4340-a666-d68192957832 · outbound

This paper cites an unresolved cited work.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Unresolved cited work

Reference 15

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unresolved
raw_fallback, observed 2026-08-06T21:45:28.757351Z

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=arxiv_source observed=2026-08-06T21:45:10.435006Z digest=sha256:6c5ec6ab1c9ae86e4391e5056c1e21e4e84342d8a4332f9833ce262185921974

Observation eb71aa47-e5da-4096-931e-fb5d2e93ce04 · outbound

This paper cites NIPS 2014 Workshop on Deep Learning, December 2014.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach NIPS 2014 Workshop on Deep Learning, December 2014

Reference 16

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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=arxiv_source observed=2026-08-06T21:45:10.527524Z digest=sha256:e1eae53153c23e692c7496979a5141c23e76c9ed693e70feee685dd5c67f07fd

Observation 3f8feb4d-d3ca-4c8b-afff-83500a9be0b9 · outbound

This paper cites Optimization Challenges in Complex, Networked and Risky Systems, 269--281 (INFORMS).

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Optimization Challenges in Complex, Networked and Risky Systems, 269--281 (INFORMS)

Reference 17

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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=arxiv_source observed=2026-08-06T21:45:10.621667Z digest=sha256:675c7a21bc3de8dcab3eaa413bc630c840d91f3c7cec71f35051f46136b6f2a8

Observation 0d1b240c-daed-40d2-9ed0-e5d73610ddd4 · outbound

This paper cites Contemporary Accounting Research 29(3):804--837.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Contemporary Accounting Research 29(3):804--837

Reference 18

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verified fuzzy
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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.

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Observation 59ee875c-d23b-44de-9c99-636a093baac6 · outbound

This paper cites Physica A: Statistical Mechanics and Its Applications 622:128886.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Physica A: Statistical Mechanics and Its Applications 622:128886

Reference 19

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verified fuzzy
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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.

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Observation 96372f04-b3f1-438e-8ce5-e3e8e64ccd2a · outbound

This paper cites NAACL-HLT (1) , 4171--4186 (Association for Computational Linguistics).

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach NAACL-HLT (1) , 4171--4186 (Association for Computational Linguistics)

Reference 20

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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.

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Observation 23d2b04a-4624-4333-8cd1-b158427b428c · outbound

This paper cites International Joint Conference on Artificial Intelligence.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach International Joint Conference on Artificial Intelligence

Reference 21

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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=arxiv_source observed=2026-08-06T21:45:10.938946Z digest=sha256:c2efe62c88a71bd97a3dc79ba0889ce39503695d669ee19b384a9d7954f324fc

Observation 064305ed-354a-4c30-9bac-6bf80c079789 · outbound

This paper cites 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 0210--0215, ://dx.doi.org/10.23919/MIPRO.2018.8400040.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 0210--0215, ://dx.doi.org/10.23919/MIPRO.2018.8400040

Reference 22

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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=arxiv_source observed=2026-08-06T21:45:11.036815Z digest=sha256:945aab50a96944164f48729191c7706f9deeb181e070dc2c39faee5dba03adff

Observation c41982e7-a580-4f80-baba-3461941162a5 · outbound

This paper cites ACM Computing Surveys 56(9):1--42.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach ACM Computing Surveys 56(9):1--42

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:27.930246Z

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=arxiv_source observed=2026-08-06T21:45:11.134628Z digest=sha256:b72ec87ef432493eb032fe4d798e4c42abafd640dc1b4a83e75acb705174bbdb

Observation 575f339b-402f-45b4-aba8-5dc3c963d8d7 · outbound

This paper cites Journal of Accounting and Economics 64(2):221--245, ISSN 0165-4101, ://dx.doi.org/https://doi.org/10.1016/j.jacceco.2017.07.002.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Journal of Accounting and Economics 64(2):221--245, ISSN 0165-4101, ://dx.doi.org/https://doi.org/10.1016/j.jacceco.2017.07.002

Reference 24

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verified exact
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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=arxiv_source observed=2026-08-06T21:45:11.207570Z digest=sha256:4b5a7287449a4b2d82ce4eb7b74ea97ff0ac164b074b0f7f93a8192e62a2ea94

Observation 93ab11ee-6acd-416a-a16c-72c2cdc9b395 · outbound

This paper cites The European Journal of Finance 6(1):18--38.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach The European Journal of Finance 6(1):18--38

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:27.802266Z

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=arxiv_source observed=2026-08-06T21:45:11.280048Z digest=sha256:d6feda429529cad9c21c41f20e4ece34366a5b28de848146441c5e06bc20cb03

Observation 6d49db4d-a77c-41d1-8885-9aa3a84bae39 · outbound

This paper cites Journal of Financial Economics 33(1):3--56, ISSN 0304-405X, ://dx.doi.org/https://doi.org/10.1016/0304-405X(93)90023-5.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Journal of Financial Economics 33(1):3--56, ISSN 0304-405X, ://dx.doi.org/https://doi.org/10.1016/0304-405X(93)90023-5

Reference 26

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no resolver link, observed 2026-08-06T21:45:11.371109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:11.371109Z digest=sha256:4ee6854a648f0f990881d4b9ed59156eb925c34219b08a4bce75be03321810da

Observation c84b4acf-f044-4ba6-88ce-c4a088142624 · outbound

This paper cites Frontiers in artificial intelligence 5:779799.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Frontiers in artificial intelligence 5:779799

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-06T21:45:27.694421Z

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=arxiv_source observed=2026-08-06T21:45:11.448004Z digest=sha256:cf83d8b9be2da1198037e5d9ff83ee817469f0654c18360d981597776d6ffc65

Observation dd2d91fe-060b-4890-a03f-a908e5b075bc · outbound

This paper cites Comparative Economic Studies 53:511--534.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Comparative Economic Studies 53:511--534

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:27.552150Z

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=arxiv_source observed=2026-08-06T21:45:11.522573Z digest=sha256:aebcb66ff4889b761a791aa84867233fa2f3c05a9e6cddf712c34c03377b055d

Observation d0fbfdac-837e-485c-873e-9a3c25ad7654 · outbound

This paper cites ACM Computing Surveys (CSUR) 55(1):1--30.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach ACM Computing Surveys (CSUR) 55(1):1--30

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:27.417701Z

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=arxiv_source observed=2026-08-06T21:45:11.615456Z digest=sha256:fa897ad6f7f2d41aa84479f420b77d103433b21d782703f387230e572d036d6d

Observation 0f9cefea-b9b5-48b8-8cb0-6b9266b88b86 · outbound

This paper cites Frontiers in Artificial Intelligence 4:752558.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Frontiers in Artificial Intelligence 4:752558

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-06T21:45:27.253242Z

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=arxiv_source observed=2026-08-06T21:45:11.711096Z digest=sha256:9c917146184a4610449c1326d281373e73f79316a1d155a454644647da262ebf

Observation a585e7e9-afe9-4cd2-afaa-30f740e0d182 · outbound

This paper cites The Llama 3 Herd of Models.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach The Llama 3 Herd of Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T21:45:11.801395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:11.801395Z digest=sha256:74d66d8782ba73132fe88b5e379aaa8f37901a1a0af08d9aa81e43cdb38b5f05

Observation 46f74f12-3fd8-403b-82ab-c067927dd550 · outbound

This paper cites Neural Computing and Applications 29:343--358.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Neural Computing and Applications 29:343--358

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:27.093937Z

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=arxiv_source observed=2026-08-06T21:45:11.903926Z digest=sha256:eb5b048e55d0e5f2dd0b1fe44078529dd8721b1bd8fe39fce6482cacaca0fda6

Observation c0510849-dbb4-44fd-bc93-e3dfa0e72e16 · outbound

This paper cites Similarity-based pattern recognition: third international workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Similarity-based pattern recognition: third international workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:26.985297Z

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=arxiv_source observed=2026-08-06T21:45:11.979010Z digest=sha256:121c74ef814475fdbcbd7f8de2659adfe5425a48f543e6d2af05fa7e9209a081

Observation 40e029e5-7f2b-4882-9311-3cdd743243da · outbound

This paper cites Contemporary Accounting Research 40(2):806--841.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Contemporary Accounting Research 40(2):806--841

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:26.817351Z

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=arxiv_source observed=2026-08-06T21:45:12.123890Z digest=sha256:1abd450d7f045dd094e59a84be63f108cb3e41daede030a6cbfa17a402cef31b

Observation b5949c18-0306-4540-a90e-440b869e1631 · outbound

This paper cites The Journal of Finance 53(3):1111--1130.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach The Journal of Finance 53(3):1111--1130

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:26.659066Z

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=arxiv_source observed=2026-08-06T21:45:12.248530Z digest=sha256:d35be3fc4477c4a5f8550fa1fb1d8bc092fec4d2b39f0f16bfd592bf43b7ddbb

Observation a5206c7b-5e48-45e6-80a0-36252184b31c · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2020, 4163--4174.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Findings of the Association for Computational Linguistics: EMNLP 2020, 4163--4174

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:26.459361Z

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=arxiv_source observed=2026-08-06T21:45:12.322090Z digest=sha256:9f3dd37c56c950669ea01496e9cbdaa5d6d8fe3836f41a33c632017e7c95683b

Observation 83639f81-eed8-4135-aa88-a21296d011be · outbound

This paper cites Information Systems Research 20(4):527--546, ISSN 10477047, 15265536.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Information Systems Research 20(4):527--546, ISSN 10477047, 15265536

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:26.318355Z

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=arxiv_source observed=2026-08-06T21:45:12.399664Z digest=sha256:9aac00254630953ccc76b32404971e9fb4e7ca3274780cd758735e860b214e54

Observation 9e361073-bccd-4b93-b0e1-4de3b7fc548f · outbound

This paper cites Biometrika 30(1/2):81--93, ISSN 00063444.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Biometrika 30(1/2):81--93, ISSN 00063444

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:26.161480Z

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=arxiv_source observed=2026-08-06T21:45:12.473478Z digest=sha256:e10654116251f208cb8e458c117b4cfd0111073b030c94dfee91fc1070c007ff

Observation b20c0d3f-8265-4971-bf95-ad943ffb77e9 · outbound

This paper cites Biometrika 33(3):239--251.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Biometrika 33(3):239--251

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:25.999341Z

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=arxiv_source observed=2026-08-06T21:45:12.561346Z digest=sha256:5ef57aa1de446c6e1af5ce735f6afbb80642c57a9cfc83d3e26d2709790abc50

Observation 0d235300-0e7a-4ed3-adc2-406895decb36 · outbound

This paper cites an unresolved cited work.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:45:25.838511Z

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=arxiv_source observed=2026-08-06T21:45:12.633279Z digest=sha256:bf58f94829b4ac973d8137c76c48977f09ea7d26ec4ddda6e6fd95d623f13663

Observation 8cc5d9ce-e038-4aa9-a356-99206f539c83 · outbound

This paper cites Proceedings of the IEEE 86(11):2278--2324, ://dx.doi.org/10.1109/5.726791.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Proceedings of the IEEE 86(11):2278--2324, ://dx.doi.org/10.1109/5.726791

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T21:45:12.725384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:12.725384Z digest=sha256:bff68c2dfc9c553a8df45b660a2de94a9994e86091b2b98e08d19ca9c417fe5b

Observation 54d1df2a-4828-44d7-a272-fc4da244a388 · outbound

This paper cites A Deep Learning Framework for COVID Outbreak Prediction.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach A Deep Learning Framework for COVID Outbreak Prediction

Reference 42

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T21:45:19.589342Z

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=arxiv_source observed=2026-08-06T21:45:12.816209Z digest=sha256:e4cb8d5045161fcdbf3c421ff9b751425ae6cf70f4811895e3fc98a476b5e998

Observation c459be3f-313a-42e6-8d5f-c70d2695aaa3 · outbound

This paper cites Journal of accounting research 48(5):1049--1102.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Journal of accounting research 48(5):1049--1102

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:25.677888Z

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=arxiv_source observed=2026-08-06T21:45:12.895187Z digest=sha256:4bf6cf4a9cce6e74a18960811165d800a9b4e159a7c33335ee0b238027818327

Observation cfa84076-6185-4de3-a0e4-8fdf07a7f586 · outbound

This paper cites Machine Learning and Knowledge Discovery in Databases.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Machine Learning and Knowledge Discovery in Databases

Reference 44

Resolution
verified exact
doi, observed 2026-08-06T21:45:17.922292Z

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=arxiv_source observed=2026-08-06T21:45:12.970934Z digest=sha256:6d4bcc7f42acbfc66013bb2d88c226527007bbcaaf310c8a239274b2405d51de

Observation eea40fb0-d605-4067-9172-2aa7f4c5bde5 · outbound

This paper cites Entropy 23(1), ISSN 1099-4300.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Entropy 23(1), ISSN 1099-4300

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:25.469804Z

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=arxiv_source observed=2026-08-06T21:45:13.034151Z digest=sha256:d6fe540914dfb3b37838653da38ff117c50fec654f40499e5053f717272022d6

Observation 3940fcf7-e7c1-4106-bd36-09f236532cd6 · outbound

This paper cites Management Science 68(2):1573--1589.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Management Science 68(2):1573--1589

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:25.257491Z

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=arxiv_source observed=2026-08-06T21:45:13.088061Z digest=sha256:23a0d477b304b3e390cf786df6ee6debf48e58361cc0aaba72278142260995f0

Observation 0bd0469a-1008-4ede-9f96-b3010b273686 · outbound

This paper cites The Journal of finance 66(1):35--65.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach The Journal of finance 66(1):35--65

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:25.053581Z

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=arxiv_source observed=2026-08-06T21:45:13.139656Z digest=sha256:815f856de026b7c7abe63b4ce6e2f96809d3630046b918cebd3f1ab587547e7f

Observation d6148ab3-cdd5-4808-864f-afa56f04c691 · outbound

This paper cites Advances in neural information processing systems 30.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Advances in neural information processing systems 30

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:24.880127Z

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=arxiv_source observed=2026-08-06T21:45:13.200689Z digest=sha256:9008513112e48a64e0f2bd343dc934aea3c1566f7c8c4412d039dbddb50be150

Observation bb013a6c-8e98-4951-a242-4053eed0b03f · outbound

This paper cites Management Science Letters 4(4):659--662.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Management Science Letters 4(4):659--662

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:24.721215Z

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=arxiv_source observed=2026-08-06T21:45:13.275410Z digest=sha256:ca17609ab518c4d7c49b4dc49dc5a7ab1f741b76cca24fed9652ca4c256756dc

Observation 2bc9ad4e-20cd-44dc-8ebb-3a222d539be6 · outbound

This paper cites Ieee Access 8:203203--203223.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Ieee Access 8:203203--203223

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:24.583785Z

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=arxiv_source observed=2026-08-06T21:45:13.363647Z digest=sha256:f04d3ec97ca6a6d5dea75d05ae41c6633158f658bfc0a14d59a7ecfbccf7547a

Observation 26a76f54-3730-4be1-ac9c-ad1c58990bc8 · outbound

This paper cites Intelligent Computing: Proceedings of the 2019 Computing Conference, Volume 2, 1269--1292 (Springer).

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Intelligent Computing: Proceedings of the 2019 Computing Conference, Volume 2, 1269--1292 (Springer)

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:24.347179Z

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=arxiv_source observed=2026-08-06T21:45:13.446037Z digest=sha256:f74e91821ee25e862ab30947c65a70bcb665a8fdddcd86fde29bf9c2c6118a6a

Observation d8b83e26-978b-49bb-bdc9-d827b6ad61df · outbound

This paper cites Information Systems Management 39(1):53--63, ://dx.doi.org/10.1080/10580530.2020.1849465.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Information Systems Management 39(1):53--63, ://dx.doi.org/10.1080/10580530.2020.1849465

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T21:45:13.521242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:13.521242Z digest=sha256:278c4a9098186eb368a12b3784fc91023d5422d8baaf0f85859932be7763a5ed

Observation 28a350b4-9cc3-4710-9668-c3dae035b00c · outbound

This paper cites an unresolved cited work.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Unresolved cited work

Reference 53

Resolution
verified exact
doi, observed 2026-08-06T21:45:17.775011Z

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=arxiv_source observed=2026-08-06T21:45:13.597370Z digest=sha256:c625960ad45f4cf89c59f3e6ce147f9458f2486610f47423fc1ff1931cc9e85b

Observation ca7ccaca-52aa-445e-935c-9578902b683a · outbound

This paper cites Management Science 61(5):931--948.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Management Science 61(5):931--948

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:24.152511Z

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=arxiv_source observed=2026-08-06T21:45:13.674477Z digest=sha256:ad1f5c66b6208a2bd6fb2931577cc8a38265c70572f6545a6992bda95ab2a532

Observation 9b56e140-df7f-4adb-b526-78d5108a7fd0 · outbound

This paper cites an unresolved cited work.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:45:23.902064Z

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=arxiv_source observed=2026-08-06T21:45:13.761046Z digest=sha256:d1b70dc34ad23ddf83f11804ed9aaa759ae4205832f83075a7acd6f12a40d8d1

Observation 6d7e0987-0cef-475a-a806-73ea5b36e4cc · outbound

This paper cites an unresolved cited work.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Unresolved cited work

Reference 56

Resolution
verified exact
doi, observed 2026-08-06T21:45:17.623432Z

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=arxiv_source observed=2026-08-06T21:45:13.851747Z digest=sha256:a02e0138b9257267b12488926ca1d21efba5728edf82dcb248568e752d221b65

Observation 5f2b34dd-b07b-4a2b-8236-64d77c238fa1 · outbound

This paper cites Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP), 1532--1543.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP), 1532--1543

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:23.684298Z

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=arxiv_source observed=2026-08-06T21:45:13.919220Z digest=sha256:fbadbbee654306680ed13ec7ab3777f8928226e1f240f96f2df257c16fa5207b

Observation 2db30bfc-3174-41ad-a748-a6f209c9f263 · outbound

This paper cites an unresolved cited work.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:45:23.518949Z

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=arxiv_source observed=2026-08-06T21:45:13.941317Z digest=sha256:d9e5f28754fb288eff6d79b64ec827102642dc3572288ec13a92f0a0ff3b310a

Observation 35ac2032-b5b6-45cd-8c8e-a375ab868277 · outbound

This paper cites an unresolved cited work.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Unresolved cited work

Reference 59

Resolution
verified exact
doi, observed 2026-08-06T21:45:17.489803Z

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=arxiv_source observed=2026-08-06T21:45:14.064578Z digest=sha256:a7a711c9e99c29ee63cb5c21742614f8432ea931d0275aa506c61749881b8471

Observation ac4ca4b9-86d5-4b0d-8988-9cf1479518fd · outbound

This paper cites Thirty Fourth International Conference on Information Systems, Milan.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Thirty Fourth International Conference on Information Systems, Milan

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:23.339662Z

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=arxiv_source observed=2026-08-06T21:45:14.225396Z digest=sha256:da191c79d8a606f246f1b0817292016827146d53d14a49813d5df3f047b80b5f

Observation ca988adc-8617-4d35-a7f6-020b4e9f7e96 · outbound

This paper cites an unresolved cited work.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Unresolved cited work

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T21:45:14.337126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:14.337126Z digest=sha256:54840ca3703dbdefa78f455b4dd04dc4072362c75fce8c0a1f2329ac5832c371

Observation e0b3baa6-f026-473d-9ef6-d2f86d3e54fb · outbound

This paper cites Journal of Risk and Financial Management 14(11):540.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Journal of Risk and Financial Management 14(11):540

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:23.174680Z

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=arxiv_source observed=2026-08-06T21:45:14.430570Z digest=sha256:af64fa1948ba722770c0b0b3f59efbb868234d8c368d3b0ed9c5bd1704fa8d7a

Observation e22b0155-4281-46e5-a931-c57a218979f6 · outbound

This paper cites International Conference on Computational Linguistics.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach International Conference on Computational Linguistics

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:22.980463Z

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=arxiv_source observed=2026-08-06T21:45:14.516369Z digest=sha256:86e5d8b551e792acede21ec7d323b8d5016aae811639bf80d99e288aee6efa0c

Observation 2054f12f-2397-4748-b194-4968a2783d82 · outbound

This paper cites Neural Computing and Applications 34(17):14327--14339, ://dx.doi.org/10.1007/s00521-022-07472-2.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Neural Computing and Applications 34(17):14327--14339, ://dx.doi.org/10.1007/s00521-022-07472-2

Reference 64

Resolution
verified exact
doi, observed 2026-08-06T21:45:17.243275Z

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=arxiv_source observed=2026-08-06T21:45:14.703195Z digest=sha256:0738b0881971888ecb8f57139d93688179dd4d4ff093e3887b52dce55aec286f

Observation 3f0bb160-d312-485b-b777-35947e84cc25 · outbound

This paper cites MIS Quarterly Executive 21(2).

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach MIS Quarterly Executive 21(2)

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:22.796186Z

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=arxiv_source observed=2026-08-06T21:45:14.788529Z digest=sha256:8214ebe02d7b6dc2366f68fdea122d2da59bf88cbe39d93bcd1f2349315ce40b

Observation 5493829e-33dd-45d1-9a78-64680f70ce56 · outbound

This paper cites an unresolved cited work.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Unresolved cited work

Reference 66

Resolution
verified exact
doi, observed 2026-08-06T21:45:17.083378Z

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=arxiv_source observed=2026-08-06T21:45:14.865347Z digest=sha256:1587514b025c1cbf07bea58eccbb4a1eef3e1f5f8fcec43f448289fa4313da32

Observation 16b18542-d019-4e52-8433-067b0a213a00 · outbound

This paper cites International journal of forecasting 16(4):437--450.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach International journal of forecasting 16(4):437--450

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:22.583059Z

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=arxiv_source observed=2026-08-06T21:45:15.044463Z digest=sha256:2f48c446f75c9ead3bb4a93d0245a0cb16acd059f0439a01f0248b4f8226c385

Observation 7e2da8d7-ce10-48f7-9440-8eac94114aa5 · outbound

This paper cites Management Science 62(6):1598--1609.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Management Science 62(6):1598--1609

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:22.314009Z

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=arxiv_source observed=2026-08-06T21:45:15.136907Z digest=sha256:d2b3fee0fb02ab84627eaece7a8fb9633dcc2cec6d985451452bab998f598e9a

Observation b6a92537-03f8-43dc-9443-0a0debd1dadb · outbound

This paper cites ://dx.doi.org/10.1109/TNNLS.2020.3027314.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach ://dx.doi.org/10.1109/TNNLS.2020.3027314

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-06T21:45:15.216654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:15.216654Z digest=sha256:0fb346b0deddb090ceebef84a217e4c66e33be3fe66956b4c50860482745cbff

Observation 7649d858-cc30-4600-9ad5-4e0b1ac8a11c · outbound

This paper cites an unresolved cited work.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Unresolved cited work

Reference 70

Resolution
verified exact
doi, observed 2026-08-06T21:45:16.933606Z

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=arxiv_source observed=2026-08-06T21:45:15.288794Z digest=sha256:99765e3a68c5bf8a8335ad7b9c6661ed32efe4bac5f40a8fdbe49702cde080cc

Observation f9662b27-e260-4ce4-8630-0a201191e9cb · outbound

This paper cites European Journal of Operational Research 257(1):243--250, ISSN 0377-2217, ://dx.doi.org/https://doi.org/10.1016/j.ejor.2016.06.069.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach European Journal of Operational Research 257(1):243--250, ISSN 0377-2217, ://dx.doi.org/https://doi.org/10.1016/j.ejor.2016.06.069

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T21:45:15.405768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:15.405768Z digest=sha256:75ff5cdc63fed4646f8f5e012930201ccf53446a95bf9ce5fdd9101f1e556ad7

Observation d129d32c-f9eb-497a-8c08-e8f588b9124b · outbound

This paper cites Advances in neural information processing systems 30.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Advances in neural information processing systems 30

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:21.764477Z

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=arxiv_source observed=2026-08-06T21:45:15.493317Z digest=sha256:8e409c42555e0ddc98cc5179351cd0e52448e5e274f991de48ef9f3e3a59de8b

Observation 629d035b-c559-4663-9572-e2c43d9296cf · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition, 1386--1393.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Proceedings of the IEEE conference on computer vision and pattern recognition, 1386--1393

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:21.566513Z

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=arxiv_source observed=2026-08-06T21:45:15.640118Z digest=sha256:b682359fbe2e6fc263be42e0facb2b7148e521eb8c3f82e6760821634e9b8c17

Observation cda0b951-f4b8-4bbc-af3c-78d8edf17af9 · outbound

This paper cites an unresolved cited work.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:45:21.382337Z

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=arxiv_source observed=2026-08-06T21:45:15.803540Z digest=sha256:dfee08030eb8d59ae061a3848b4c984abdf1026f3c842c0aee225f186e758bcd

Observation 671661a8-3712-438c-88ef-d65be26f795b · outbound

This paper cites Qwen2.5 Technical Report.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Qwen2.5 Technical Report

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-06T21:45:15.925227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:15.925227Z digest=sha256:47c9e8c298591710474e52f1a98e1e9c02c384b809275127fabf64a66a949985

Observation f671096a-d38f-42ce-af40-3c9111503c66 · outbound

This paper cites INFORMS Journal on Computing 34(1):522--540.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach INFORMS Journal on Computing 34(1):522--540

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:21.108970Z

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=arxiv_source observed=2026-08-06T21:45:16.082860Z digest=sha256:6507e9bec65bf1990ab0d51388a2d0cf7e4f1efd162478afa47b8a764ca2efe3

Observation 45650806-db7d-4628-80df-164ea4c2053b · outbound

This paper cites Proceedings of the 2016 conference of the North American chapter of the association for computational linguistics: human language technologies, 1480--1489.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Proceedings of the 2016 conference of the North American chapter of the association for computational linguistics: human language technologies, 1480--1489

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:20.847786Z

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=arxiv_source observed=2026-08-06T21:45:16.256589Z digest=sha256:7c02b9b4544c92cc08f22b21272f81ceeeb4099343c0719545a32b48b5d10ed1

Observation 97d79502-c982-4017-88e6-a114c971b708 · outbound

This paper cites Applied mathematical sciences 8:3229--3242, ://api.semanticscholar.org/CorpusID:42092623.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach Applied mathematical sciences 8:3229--3242, ://api.semanticscholar.org/CorpusID:42092623

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:20.565500Z

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=arxiv_source observed=2026-08-06T21:45:16.416617Z digest=sha256:2e6289f1c8e1e9b29aa0fbac5b5823004fc889898c80a85ff3bb425d29ba1ae1

Observation 17e1bfa5-3cf0-4dcd-934b-9bdfda3ba018 · outbound

This paper cites MIS Quarterly Executive 19(4).

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach MIS Quarterly Executive 19(4)

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:45:20.308347Z

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=arxiv_source observed=2026-08-06T21:45:16.568413Z digest=sha256:591e6bf17308ba142648a72b6b67ccb50ca9f44a197649d85ce0d6e14f197733

Observation 678c7af9-d59f-4624-86b9-91cfe3cf92af · outbound

This paper cites SHAP values for Explaining CNN-based Text Classification Models.

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach SHAP values for Explaining CNN-based Text Classification Models

Reference 80

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T21:45:19.215193Z

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=arxiv_source observed=2026-08-06T21:45:16.702498Z digest=sha256:2f241fd4f7c5c67d0b5305ad9441cab790e8aab21d3fba8fe94d383f05404e4d

Pith citing papers

No inbound Pith citation observations are available.