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Paper Citation Record · LEDGER

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning

As of 9 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2506.11038.

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

pith.paper-citation-record.v1
2506.11038 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:30:54.454510Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

61 of 61 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved44
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29dd1086-a894-4346-9c8d-e14a0c9f7701 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:59.285043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:49.187882Z digest=sha256:aa6f36eda0d9ba12172f1eddfc2f09a4076ec071d7ed9b4aacffe694256319fb

Observation 6c61b2c0-cd33-4115-87ef-98c8721f99ee · outbound

This paper cites Birjali, M.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Birjali, M

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:59.278555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:49.235741Z digest=sha256:9e445bb36bdc9e9a3382e3b86aaf928593c79f75fc077218b044b70a47ffa2b3

Observation 3de5ea9a-f038-41fa-b4ba-6ec8f5441fab · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:59.271553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:49.277825Z digest=sha256:3c597ef62945630b5feca631433e8e4c1571e4fd55e844acf6997fe082f8350b

Observation a78f9241-f22c-4c78-b016-8519a9f2d428 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:59.265035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:49.344596Z digest=sha256:658f8870c4b6bf8969794d621e79ac9cc85af167f3232ad48d1475d9c86d02be

Observation 25ee6dce-0011-4d71-a5b2-a57af09f48e5 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:49.401191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:49.401191Z digest=sha256:80b459b06d9bb91324c50861bbdafede930c234229fb791d015a7e3052dd3d80

Observation 46ddd0ea-f49a-458c-a0fc-bb9432b47f2f · outbound

This paper cites Babcock, S.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Babcock, S

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:59.254569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:49.487978Z digest=sha256:20c2a466743814d7ec69baae786b0f780894a265f6eb0db37939fab74378283c

Observation 451910ae-1329-4d93-b069-1dc932746151 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:59.248385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:49.545522Z digest=sha256:e4f57fd42035cecad8db1670a6b1ee2ad2d1c9ecf60134e36b49251f81166a98

Observation dad73cea-6dd2-4569-a208-1dc159df92c8 · outbound

This paper cites Zhou, Q.-W.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Zhou, Q.-W

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:59.241658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:49.630710Z digest=sha256:327458d430a6d4a0cf2ae0621cb4899ccbf8fb0af37140f9f5ff4c178aec074b

Observation a131ae27-979c-40d7-8b32-dcde9e6fab87 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:59.234628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:49.724536Z digest=sha256:2162990eb4b2feaaa26767bef306ee1ca6c3e770f222fb7100471b1ab2feaf2d

Observation f1aa0e25-1087-489c-a27d-c4904602de46 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:59.228335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:49.772147Z digest=sha256:a671b3fce1195de270a02689542599019ce02725dc72e2b3c651e23d04f6cadb

Observation 2c70ca79-d4b0-4afa-9025-a4666fb15532 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:49.862712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:49.862712Z digest=sha256:2b606b53db1333670a1aea4364fbaa735349b3b100f6449397ea0cc5749b63bd

Observation 7fde32c6-2c35-40e9-8d0b-04bd38f15deb · outbound

This paper cites 2001– 2010.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning 2001– 2010

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:49.931926Z digest=sha256:4dce58face3aae3cdd416a4a31f09b9dd3097f465de755ea50a9737071423aa7

Observation 81a9facb-7d39-4a0f-8cec-a0a42c6a8a95 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:59.210706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:49.946327Z digest=sha256:ae4eaaf903407c7bd1eb1f30a543e79c4a705d948f2fbb487b311297d8268678

Observation 563bbb44-2d6e-431b-9015-f604d4804989 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:59.203495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:50.010250Z digest=sha256:7e35008085747412e71cae820ef8a82643b4692a42696be0ebc01f637caaed7c

Observation 8f7b290f-66f4-4e3d-b099-09a359d2960a · outbound

This paper cites Douillard, M.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Douillard, M

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:59.196984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:50.134507Z digest=sha256:86b985d4b942fad3711da8fb5f7d3fb921ec52b3f48cd7fef3f3ab4c0af83ed9

Observation fde19f1f-9e79-4da5-bef1-0c6037682dee · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:59.190750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:50.196650Z digest=sha256:2ff93e6e655944bc0cda128dbd51970c2d7ff50659ea0dd769c4978372481b1b

Observation 14d89ca7-966b-4d35-bea2-b8a92d440cea · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:59.183750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:50.338883Z digest=sha256:9eaef45906ef292daba1b9543afe2ffa2fa6daa46e742fdc47bc11d122602df4

Observation 1e09628c-62a9-4e37-9173-8090cc921fc5 · outbound

This paper cites Zhou, Q.-W.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Zhou, Q.-W

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:59.177150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:50.420502Z digest=sha256:1cb87fdcc28ba7802dac5f310dfa8b1224cd93e072a993137f9c020feaa0a9a0

Observation 876f8711-7b80-4a96-a0b1-44b91345f400 · outbound

This paper cites Kirkpatrick, R.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Kirkpatrick, R

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:50.516453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:50.516453Z digest=sha256:1be72420adac4dce0017d92db569f3dd673be3b7d9b3bfffb9d4e84c2fa1873e

Observation b8979206-399c-4d09-a6e6-4d51435ba96e · outbound

This paper cites PILOT: A Pre-Trained Model-Based Continual Learning Toolbox.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning PILOT: A Pre-Trained Model-Based Continual Learning Toolbox

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:50.578163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:50.578163Z digest=sha256:addec39735449b9dcaf463ea31c415a5990dc32b69a20b05c5d67655a604ea25

Observation 193feeba-b491-4947-b869-c36447e56c4a · outbound

This paper cites Zhou, Z.-W.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Zhou, Z.-W

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:58.918318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 85da7657-1dda-4ecc-a910-e7b419a7d22f · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:58.789442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:50.683622Z digest=sha256:c6fcd6fdec9b0c24295033e047ad5b3f225d41c3dc9281fe18f4463fadda8319

Observation d1d99241-7358-4d4c-98f0-dc27b3c5b411 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:58.456050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 992d33f8-443f-4b3f-b425-bc17b2bd9676 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:50.824192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:50.824192Z digest=sha256:94187ea508dd001ba0fc034b03aefd710a50dc27d8f8bb34872a357264eae9f5

Observation 51cf7db4-7588-4490-aaf1-2fcc46af0262 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:58.214909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:50.857637Z digest=sha256:f45c17f61d1d2d8b9cb37f233fc8e914a049f1e768fa7b8877fc0b82ae5d31d7

Observation 9240563a-47f4-439f-8be1-6497ecb3724c · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:57.843788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:50.990965Z digest=sha256:1cdfb6a4ca26c53ae2c0c20bd0e0b9ddfd11082172a60e68e22d58908a9d1b00

Observation 87d7ca7c-7b10-4175-8f27-2c52499ae6ff · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:57.722346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 96a3c4c7-b5f1-4444-aa82-d25535a50b31 · outbound

This paper cites Aljundi, P.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Aljundi, P

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:51.178531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:51.178531Z digest=sha256:e996d952ef05cf6c08715c092eebdf12d51469f806749f13be3f743561ed99e6

Observation 6bf81d4b-9dca-4cc4-94c9-0504726ae1c7 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:57.648261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c319ad08-54c1-44c2-be94-41e91b77eb68 · outbound

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

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:51.359586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:51.359586Z digest=sha256:20d0174c486e7dd6512e7e07a661646adeab5e587012c6606c3d1adeba7e703a

Observation 52d8c11e-5f96-442d-9f7a-aec039307cc0 · outbound

This paper cites Zhou, H.-L.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Zhou, H.-L

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:57.482360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:51.463145Z digest=sha256:d19b42535ed170da28278c92260f7a7327ee8dff0d1e02a5c6d60b056f37fcbf

Observation 1f1650cb-c639-400b-ae23-2f565657b060 · outbound

This paper cites Snell, K.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Snell, K

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:57.341780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:51.538705Z digest=sha256:3e76841dd9886decff6b9d34e07ae39b9167b287d50e3f529bbd53031c15e357

Observation 52ee340c-8a67-4d0d-8e13-4a79f261d0bb · outbound

This paper cites Kendall, Y.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Kendall, Y

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:57.190829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:51.602305Z digest=sha256:3efcf2d44867b5d86e3347243a39e0b749a29e0db1ab8c6394d100ff30d44d9d

Observation 7fca6c52-66b0-4786-a6e8-abf5b80e506a · outbound

This paper cites Krizhevsky, G.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Krizhevsky, G

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:51.695720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:51.695720Z digest=sha256:a0e6adc35b3212d3e6cdfa8f2c3c384b70e56111e06e76b6c6029d5dd015d32b

Observation 7eeccf04-484f-4cc5-bb61-3eed326f4a24 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:57.086342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:51.786136Z digest=sha256:84286c0099d6eab91a510946a07b846c0d6ac8166de6011eb3f56f3491bf9cee

Observation 9e6005c6-73da-4228-991e-7045194bd963 · outbound

This paper cites Hendrycks, K.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Hendrycks, K

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:56.907537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:51.860583Z digest=sha256:c520fd478250b404647e63f751536036147a68dd0f4fc2c1aa9e94b6eab79406

Observation cd8a122c-5648-4cdd-83bd-df0b63b10ac5 · outbound

This paper cites Hendrycks, S.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Hendrycks, S

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-07T15:30:56.715707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:51.947988Z digest=sha256:01f84b4d56f73ab589bddc57e8f936ae61beb195d5af783fc13bf31af9745b61

Observation 9f346b3d-daa4-41bc-8a79-e80f66c0e93e · outbound

This paper cites A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

Reference 38

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no resolver link, observed 2026-08-07T15:30:52.058022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:52.058022Z digest=sha256:4a94b9cfdce293466a4677fc26aca82b5a88d6a8ae2e636c6f050c34d280c643

Observation 73ea8a5f-b180-4779-abc1-ccac9988efd4 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:56.584677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:52.143654Z digest=sha256:b1384bf2198715dbb287524b4e180afb9d061bd3a2d41baa0d073cb1d77cfd70

Observation 1d0311ef-7fcf-4116-bc31-4cf91241df42 · outbound

This paper cites Memory Replay with Data Compression for Continual Learning.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Memory Replay with Data Compression for Continual Learning

Reference 40

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no resolver link, observed 2026-08-07T15:30:52.261293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:52.261293Z digest=sha256:6c3e3ea0a3f2d8cf28db7122b9a2e557c454840b4cb56df96bcd5803c9fe4dc4

Observation ad354501-0249-44f2-bfc1-28af40d1ebbd · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:56.412311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:52.342917Z digest=sha256:ad2c6a6d2863c7babb6dcbf3aed33af4ddf113ea52bc4bcf61134693ac8f0788

Observation 59dd92aa-9820-4e5b-8813-790909951b56 · outbound

This paper cites TaE: Task-aware Expandable Representation for Long Tail Class Incremental Learning.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning TaE: Task-aware Expandable Representation for Long Tail Class Incremental Learning

Reference 42

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no resolver link, observed 2026-08-07T15:30:52.476281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:52.476281Z digest=sha256:8357a8f4a9bcbce2677882830cae8d098f16c6fde69066430f259ac6730ccf84

Observation e5bfef0e-7374-43a2-8ce0-87e5c7af3fed · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:56.263926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:52.654058Z digest=sha256:33a51e1127973d3813b687dad557f71f79da4933988e4d57e7ae8ed21345439e

Observation 7d85468e-3613-4ae5-b502-2aa5322084a9 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:56.119259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:52.732597Z digest=sha256:3029ad6b05b9d1a00ab38bd544b28b560928747e12992439dfdd396be646d47f

Observation bf181641-0877-4ec3-bb29-658c65be9b06 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:56.019096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:52.827156Z digest=sha256:3556e7a94932006757ea3a127151f5ca6d689c071d991ef158f127008ad9f7a5

Observation 48338c3a-fb54-4011-93c4-876214ada683 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:55.875117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:53.017537Z digest=sha256:aac9ec18eeb474465f2fa3382c8f4d30428d383b777e7a1fe4833ef58dba306e

Observation 96b183f1-1d78-4a8c-8d4f-14c9f7c2ec71 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:55.726763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:53.138044Z digest=sha256:f3e08491ed4b102c1884212c5f58ff4baedeec44921422f36089b220ab9f42d5

Observation 6637264e-32af-4c60-8a02-26a090912d13 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:55.470152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:53.305354Z digest=sha256:88e2af6b423324b05a3000e0de668e1319fa6ccecb4ffdeae92eefaec2c430a6

Observation 9495abae-dc59-44a5-8473-bf98b655c3a3 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 49

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no resolver link, observed 2026-08-07T15:30:53.432525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:53.432525Z digest=sha256:19131ea27bc8d7c6cddf0aa9cb42b483cb848fd03ebbd47a7ded99330a2ca846

Observation 6c101978-1136-4f70-801e-3ca6a47fd7c5 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning LoRA: Low-Rank Adaptation of Large Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:53.582259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:53.582259Z digest=sha256:46a3fa997501a1272e45adc0a98b34b1d90e7ac4d7dbfceb39a9a121bb71f311

Observation 18ee90d0-0902-4eb0-854f-c0d9fa767856 · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:55.344212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:53.696052Z digest=sha256:64c830dfab1311b60fd20ce68f84d6d567f36172fc3d407afb53880472f4fb7f

Observation 9ea89520-fa11-456d-9900-0a3922375c4f · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:55.262947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:53.790982Z digest=sha256:9edd6b6ea7298814069d75ba48f099bf19f5e56bd646f9dc79548079df2fd04f

Observation d36c10b3-4685-4179-b6d8-e678ef82babb · outbound

This paper cites Zhou, H.-L.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Zhou, H.-L

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:55.123696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:53.909128Z digest=sha256:71821274378ed711f2ca1abf0e1a791e1fc6b39c471f371a18a7a07f2eaefff4

Observation e10c0afc-de83-4060-9c36-e6dceebcb36a · outbound

This paper cites Zhang, L.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Zhang, L

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:55.022575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:54.101972Z digest=sha256:1ea171dbb285aeea423be18b01a2a6c8860af7cc88d9cf5c2784ec6c20009c89

Observation d3a8819e-eb24-4040-8936-f92ad91b5c6b · outbound

This paper cites an unresolved cited work.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:54.926701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:54.134037Z digest=sha256:3b7c222a64213b5bd59ac7f839c837305aa3c9543db231f8b94a7af9b967c951

Observation a9bbad5b-861a-4ce2-8347-4c2b135d7d34 · outbound

This paper cites Riquelme, J.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Riquelme, J

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:54.821393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:54.164041Z digest=sha256:06dbe1ed66a7112ef33ab348be1a820b1fe77eb7d8b5ccc4404f66a58f046151

Observation d0b9d9a2-5c0b-4113-af8e-f252b77bad6d · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:54.229061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:54.229061Z digest=sha256:fa5987ef40653df704f0b62895c66cd5a24492514ac233d0156dc02c84512c2d

Observation b6b738d1-5cda-46b8-9a99-e1af9015c7f8 · outbound

This paper cites Vaswani, Attention is all you need, Advances in Neural Information Processing Systems (2017).

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Vaswani, Attention is all you need, Advances in Neural Information Processing Systems (2017)

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:54.292294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:54.292294Z digest=sha256:1c6876974b89c1bbea70b3fa786c3aa4bd48169d5b1c661f9bd91706915d0392

Observation 6bc7587c-9a34-492a-a111-c7db7f13eaef · outbound

This paper cites Rebuffi, H.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Rebuffi, H

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:54.703772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:54.340012Z digest=sha256:10723730579b0fe441d8a56c2f3f052c5f6e23b1a81177db605dd362932b8edb

Observation ffa290a7-6edb-4f29-9c59-05a0d5ea310f · outbound

This paper cites Paszke, S.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Paszke, S

Reference 60

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unresolved
no resolver link, observed 2026-08-07T15:30:54.401153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:54.401153Z digest=sha256:5e4e428a25ce547806ca3aa61d205697f7cf4f2db0d797cadc17122fbdfe02f7

Observation c639f55d-2d98-4dc8-806c-a3e0e3a2ee90 · outbound

This paper cites Van der Maaten, G.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Van der Maaten, G

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:54.594751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:30:54.454510Z digest=sha256:211aefa7110a51e51df7d0f9def59c1718b1938e85645fc6a57379d8c010c402

Pith citing papers

No inbound Pith citation observations are available.