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Paper Citation Record · LEDGER

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction

As of 5 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2605.20891.

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

pith.paper-citation-record.v1
2605.20891 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T06:05:19.340581Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

56 of 56 outbound references displayed

  • verified exact12
  • verified fuzzy7
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6a87f2e-d56f-4050-892a-967d8c08f3b3 · outbound

This paper cites Boehm, Pegah Khosravi, Rami Vanguri, Jianjiong Gao, and Sohrab P.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Boehm, Pegah Khosravi, Rami Vanguri, Jianjiong Gao, and Sohrab P

Reference 1

Resolution
verified exact
doi, observed 2026-05-21T06:09:41.187017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:ca05b5779b1ace0a6864afbaafe87f5d6ae5d227a2d06336e2c475f6c0cc8cf5

Observation 473e4641-ba34-4e0b-a5c5-721242c058ae · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.267181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:90411c93431e1d88379b2566919e055c8952f8ef957144c76a6bb18ffe8f8833

Observation 425c24c5-4996-4106-bd43-7068895ebdc3 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.264512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:a352828c45e86c04b16073a91ea7af34aa15f2fc601bd565b9460a3fc2aaa488

Observation ea34a363-78ea-4710-afb8-45a491b5102c · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.280448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:b7740912f3ea32658a36590f4ad8b3b512b1052694ac0c129733f24ead17d32e

Observation 8c9173fe-24a5-433c-bdf2-29dd7fa6a76c · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-21T06:09:41.678730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:79c3e65073f75b3d7637892e56467d9dd760ee3494a928df04efd9648d5da83b

Observation 0a2782f9-8ba6-4b3e-bfb8-e1b727f086b9 · outbound

This paper cites Learning Factored Representations in a Deep Mixture of Experts.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Learning Factored Representations in a Deep Mixture of Experts

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-21T06:09:41.686785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:4b6af3292dd648d313abdf6c3dcf3e03d392b71d124b66b44f99d50c0d2260b2

Observation 974e8484-4caa-4dd8-af40-b94e46857b72 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.308987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:e8940e2ab1180d4e828e9d58af9f675b1f85765c58f5d1c12a1edef23b665fbc

Observation caa2b101-a864-4938-8515-1eb00ac1ec1b · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.291131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:2acba3df31ca761fd310dd688dfbd27ed52249dfeb635fcf6bc899b3523e287b

Observation 6dcf4d39-bd8d-466a-aac4-1b0e23153646 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.322546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:cb55084cee99c8add1069b04168e38ce15e1bfe9679b299599b59f7ee3da602e

Observation 7135fdbd-fcfe-46cc-b13b-75e684317cd7 · outbound

This paper cites JAMA 247, 18 (1982), 2543–2546.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction JAMA 247, 18 (1982), 2543–2546

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:04:56.301884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 2bcf5716-64d4-46e3-a42c-079f977e5fde · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.204985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:a0dcda4c5a201cb6ae7e849c3a39ceadb65c22bea41f46875a2d0aef69e8e737

Observation 3ffde42e-96c1-4010-b085-fab3669752b3 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.258999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:bd90474c86b8aeb231fee8030d3d1f05c537169cc0afb9c1c55975763ea5c1a4

Observation 4807c4c4-7d58-4c00-9a77-69c8268c6f24 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.242420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:90e792108fdb5c53867cfc8e38b542a73a85c175493386cb5d1a173faac9e229

Observation 3ab75d30-d968-4b62-81b7-f4aa72dcfb77 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.227667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:4da8458b3234b560564551f87cf5777acaed74466c33c68e92ccbfe1d18b3f32

Observation e0da94f1-8943-4d9d-8204-9aae8c227505 · outbound

This paper cites Jacobs, Michael I.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Jacobs, Michael I

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:043394d0426a11e2767bd6c9000874eb3b12729b93c829edfcfcb7963afb3a45

Observation d4584d75-3062-4896-ba4c-78c6d6c50cbe · outbound

This paper cites Neural Computation 3 (1991), 79–87.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Neural Computation 3 (1991), 79–87

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:04:56.221826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:9fb557ce5ee624d06c9bfda18cd00c6dbbac6455b45a228e19a96e4b5d3b6583

Observation ce919cf4-3bd2-4c1d-ab69-2f3508d918df · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.233630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 825a3c0e-5883-49d1-8a12-a5307e571284 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 18

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation f28b0a7d-2506-47e0-97a6-8c9e700da758 · outbound

This paper cites PatchShuffle Regularization.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction PatchShuffle Regularization

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-21T06:09:41.694464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:b7fb9cf4752353595dbb794713ed611147a9d9204546c222ed52bf3270c2ec8f

Observation 6ceaf9d9-9b1f-4bbc-8e4a-2dc8dccb1de9 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.255701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:bd3d8abde7017003183c02e5c216f142646bf0fa74ed5c8156660aef2d4ec9c1

Observation e5e3ab75-4856-4d74-92f1-8d3e4f002fd2 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.247652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:eb393e2caca895b5593dc6732515906c4c3195a1efa2b996b6e93ad0b9802ab6

Observation f267ca0f-c3dd-424a-8fb6-6d042a8713b1 · outbound

This paper cites Advances in Neural Information Processing Systems 30 (2017).

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Advances in Neural Information Processing Systems 30 (2017)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:04:56.216346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:0c674537e12cd10e24aeeb806f048029631b9252a3c5f206c2c89b1f042b610c

Observation 3efb501c-74cb-47a5-af5b-97240156a08d · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-21T06:09:41.671502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:26e5530df535387c231c502386ccf9b9727e8a0c9549ec4dae7d40fedf24ec20

Observation 7763e3bc-21b8-4a3b-983a-0ccbd439f5ea · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.236473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:b35dbe9699742f29559cb2c3b64c6fe5b5c305405a69a65cefd46b309e631bd1

Observation d3d541bb-6207-4cec-9538-99dc5c05fc7c · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.253118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:290d8fabb364ebb76013a2054159a45e065b4beb9ea9700659448c0a795e84f3

Observation 662d54b3-9814-4ff1-8c13-f2a94bd4d042 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-21T06:09:41.675295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:c9905b122e2fccfae715f8b8ba0e287ba3f0e09c7fda06601b17be0747edc504

Observation 4daf54ec-3a49-4ddf-aed1-ca85c24a0367 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.313923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:bff6a7d9d55342ed83aacf66154a93d3e1e959f1c3d7a0f41c6a3f49e4cfbdba

Observation d3d0ff23-1de7-4fc8-bc7c-d9d919045bd1 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.283347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:baa59ee428c6a37d46ecf5558f671a3b35da371c515499285751bb37ba6cd8a1

Observation 39f22d4e-bd5b-4436-9b38-f245d56c98b2 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.285740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:f66bc6d71c6e6d3e1b94b901b6579d37841040d21ced5e85fdafbfbf8175a4bc

Observation 197483be-a2b4-4b49-b08a-9a333589c639 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.270349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:a4ceed5944c1c382cbfdd2f1f17a9bea2da92edeef7cce3b265d998e83b4dc6c

Observation b3818473-6d00-4158-b40c-4ed644e862d3 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:09:41.190151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:89a694ec85f76d5e5bf46b2d2233cb6182fb0a39c2135d90a327a81dac168280

Observation bba628bb-18bb-4725-8b32-f818879b8666 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.288346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:d44ffc74598af016af7c8f97683e1f0913eef84a56cdffbf025afe84d350ee3a

Observation c6bc99ff-36fe-40b8-9676-a5099d8aebe2 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.316057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation cab0a063-31ba-4ff8-976d-a7afcd6bc099 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 2168afc5-4a61-40ca-be0e-a3a0dd62ef7a · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 35

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation f96df319-77b1-4831-b09b-7fa54ccc3611 · outbound

This paper cites Advances in Neural Information Processing Systems 34 (2021), 2136–2147.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Advances in Neural Information Processing Systems 34 (2021), 2136–2147

Reference 36

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 6eaa4117-5b63-41f2-9b4c-de1668380184 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 37

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation ffda4ebe-7fc6-448f-92e9-171483036c97 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 38

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation cdc3bfda-28aa-439b-80c9-2b7e8d78636e · outbound

This paper cites Outrageously large neural networks (2017).

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Outrageously large neural networks (2017)

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c31426f5-c641-4e97-8172-ea80ac8eb96b · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:09:41.668150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 7e47c9b1-a937-4fc3-9e0b-11e3957b0af0 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 41

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation bc208178-a02e-455a-88ec-683bc122e4f6 · outbound

This paper cites Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models

Reference 42

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation dc57f95f-cd1b-49d3-be0e-911091259ba8 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 43

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 730df1c3-bb93-40db-8e01-d1587d0b2a06 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.250181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c4c11e66-223c-4897-9d7d-1ca726c20382 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 45

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 5b191435-5a13-4e9e-b367-8fd0bc63cc47 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.207997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation af84a31b-95e1-4912-a158-e369ebeee709 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 47

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation cf43448f-d180-4df0-a15e-8dabeabc0e73 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 48

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 0b042b8e-99b2-44df-89ae-f15333627924 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 49

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation aa4e6009-e94a-4eea-8187-faabca2365cb · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 50

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 9608feb7-c8d5-488b-a9ec-dc7ae259564e · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.306488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation a740ae8a-d2e8-4814-a12e-35f099fb018b · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.304206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 19db4897-61b1-455e-84d4-564b3666691d · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.299323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation edb97b9b-d920-49a3-be5e-7b18f38a56a1 · outbound

This paper cites Multimodal Data Integration for Precision Oncology: Challenges and Future Directions.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Multimodal Data Integration for Precision Oncology: Challenges and Future Directions

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:09:41.691108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 9e9a6e01-903f-45f7-ad60-4a6f942b3e05 · outbound

This paper cites an unresolved cited work.

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:04:56.296695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:385d8d2ebe5953bb123e822ea4ad83f19ebd3b48d99640a624bd7e3a01424232

Observation f904a324-464d-4602-94e1-f43d7410ca6c · outbound

This paper cites InProceedings of the Computer Vision and Pattern Recognition Conference (CVPR).

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction InProceedings of the Computer Vision and Pattern Recognition Conference (CVPR)

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:04:56.294138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:05:19.340581Z digest=sha256:00fe1e35459d78739760bdd71bcd053e6b86f3610d667a8dfb1a95f95b598f06

Pith citing papers

No inbound Pith citation observations are available.