Pith. sign in

Paper Citation Record · LEDGER

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

As of 19 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:49.187882Z digest=sha256:432644cd8f0cc466030d520cef8fd801474cc1a3e5e4272aa70057558b427edb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:49.235741Z digest=sha256:650570c104b243dff8e5497d393727d51620aeab684357c4253b2252dd1c03a1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:49.277825Z digest=sha256:6bb919388837e20190fc043b310075f201e393a56adb41a3dce327ff4d15f8f3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:49.344596Z digest=sha256:4500672c3d75323716e8295d710fdfd66760b5fa81ecf7ef7d31f7406186c1b3

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=sha256:86bd58b90ece7e2dc7001fc8e5952f3bf64b3d55a0f09d97372bd21228ea98cf

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:49.487978Z digest=sha256:d4292dafe93121dcecf90f78622eefc60df5f69ceb6c1f77bb12655b96df500d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:49.545522Z digest=sha256:a8013f16e3e94fdf6dab90f1edc0eea45e7fb248b30ee673f5b707fabfaafa81

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:49.630710Z digest=sha256:6bc027566e705407506f5e821946b87657bdeafde11e4123e51d60364fbce28d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:49.724536Z digest=sha256:0dc374dc5b018022d7c412ffe8d5943c1a05ca939fb15985a0cb5c6bf9876f9a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:49.772147Z digest=sha256:aecfa312253db4426d14aa1195b562f65b57117d35a8f997ee9ca71d23093a80

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=sha256:1a1302842682b49f7d7e482bcbc7fa81cdb67dc4990c941abd97e1a33b0ea5bf

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
raw_fallback, observed 2026-08-07T15:30:59.218052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:49.931926Z digest=sha256:3bb9b045a105842f44928aef2d96ee25f9c85ecf0984b348d9d0eb160218b94d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:49.946327Z digest=sha256:7074d428e061ec5a0710fe81fa67cb0a6c4b9656fe74ea42c734564632dcd0a1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:50.010250Z digest=sha256:c28d13ca52ac278d40ec78565849051d468f54d78db2de1020d728416c955aeb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:50.134507Z digest=sha256:9c86d4dfa9b0fef64b1efb1ef27c24e520268b7b2a98144791eecc7539349697

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:50.196650Z digest=sha256:64cb821111dd1a3c587db64ba247942879e766bb2388e6d12ec01d911a8c03f9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:50.338883Z digest=sha256:10cf4a81f6b2d729ec16d3cce13f463f54a4cabb21674f09e0741a0bed7c64f8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:50.420502Z digest=sha256:10ba4608336c501d7fead508288fdf4c91858a9c43e6dc2fac8875737eb9b90d

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:a6b344c401e80cc2abfda3bd1652c630049ff74b017ba6e5dda6043070b4fcd4

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:d084e3f3ea750155fabc355142e8b25222379f61b22ae154168b96ab6c89d81a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:50.615242Z digest=sha256:666efd5c301abd9108ebd28ec9df27585c44e953c16d943ceee5a7456522cbc2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:50.683622Z digest=sha256:54a062157c1a740b0b9ffaea3badb382ea3a5b23c46257df73ba73ad2cb7f2e5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:50.737893Z digest=sha256:80fc5c4d0bbe43d5cb80baa901cee6dc69075254d999ffaead7da76f2cc3dc23

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=sha256:50136d0c4d28db581eb66f079f8d261c1fd04433d9253af5009e2cb4dc8b8100

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:50.857637Z digest=sha256:cf3fab29db56a9b5c4765dc5c08db79d0118131c82aed74774ab4d45b6220a6d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:50.990965Z digest=sha256:81337ecc24623021962e6b844415d108097653eb3f9d407358decb207129bb05

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:51.085661Z digest=sha256:485a5508adfc06f5f73dd2c3bde61ac5005ca9ba5e08f4123c175635caa4d21c

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:b317d182fa67df82fec77d30404c5ffa941918ac16f34121707e5b6512ffcadf

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:51.309774Z digest=sha256:afaffd49a9e67fc9b8dcc4c8e5d8e80cb02420d3449d6143b8cd698e697ba85f

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=sha256:3799bfba034e9b2d4b23b0b824db8939efff7c3953e698a44fc4ce0ec937dfd1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:51.463145Z digest=sha256:928dcbb1a4305b426c2a22874e1a96941795847a4d5cff46b57647d1465a1c5f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:51.538705Z digest=sha256:06f89adbb7e09867461dacd045abb70eeb4edd8c73e043783ff5f4bf91c76291

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:51.602305Z digest=sha256:2f2a98db07d581545cf0e198c32cbe677424a9bbb72ece83f0da8b1c082c3bfe

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=sha256:4ab9cb6ef278cb5c60b6e54733e7e6b179bd92deb0b4605833a6ad89518ba5a9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:51.786136Z digest=sha256:69b75d495b353abded021549ee90ef83d658955cc3a01d2044f7b80746d8fe58

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:51.860583Z digest=sha256:cf97ba9d409ff1bc8a4d35cee0563b9baaa0174e970b31307b9afc762c4c1ba1

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:51.947988Z digest=sha256:5abc870df827e4b47fe490b6eecf405e5a7da1580c9a337b87c4872ec2fe941d

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

Resolution
unresolved
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:cc59dc015f7a2df3c34b8f58cf7572332d87307bb15c6b36b00bfc5f5dfa6dc3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:52.143654Z digest=sha256:db443e67b65e65d8390e6c73970dff5243ec450dafc9c02067c1a91bf45ebebf

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

Resolution
unresolved
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=sha256:083267a5593334cd28a207d855744feb0960ca2d6af1e060f2aed03c76463980

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:52.342917Z digest=sha256:4e3a6a1142ba5478f2d89a086cfa49be2d81e0f4d42e2d2dfb9a75876ac48f32

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

Resolution
unresolved
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=sha256:2e8aa7de1503ee437c06fe6647b3523b869b10a27672afc75767362ea0b5a3bb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:52.654058Z digest=sha256:e38f03d52446a2a4c62619430ffcefb97070a1ebe12e75511ebf1a2ef110bc56

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:52.732597Z digest=sha256:1d4ea48d24dc898f85c4acc1b9b1f1b1550c73fda7f9a9eb323ad89dfa7cade8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:52.827156Z digest=sha256:6eaf4b4e633d9a26c835ce2abda5c8308d2c336b92957987f47cee33b60ea0d4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:53.017537Z digest=sha256:b437c63e1a214a0213b589beffc3396ad015e418823b07350a603bb8aff70909

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:53.138044Z digest=sha256:91babb4e29b71b296f3201ca12fb50758460d90ce4016237f17f5e27f7cf6dd6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:53.305354Z digest=sha256:9ec1c478e4d522d477d8c9af4770bbf5700f6b3253cb7866e0a24bdf8588c0e0

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

Resolution
unresolved
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=sha256:697187b6d4c718c390815a3be8ccb96334de752e77f82412426b207b1ef36922

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=sha256:6a663f5f601d1f0d131d237f56991a76588ee3f087397d8b27b40ebd0f88db42

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:53.696052Z digest=sha256:5773633a9979d454c7ef73601982bf295f6ee6f9f86eddba9b8e3b003436fce4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:53.790982Z digest=sha256:3ce5bee13fa9bfdd09eb4e218f3e988dec0e58d95d42126c6985d0f762a193e6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:53.909128Z digest=sha256:02768dee0554c6de6f97594b34acf2b6bd5c108540a132daf2f99e7e56b1a1a8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:54.101972Z digest=sha256:8fe79bdb6c76bdfb0f8e6da06d1c735fbac4f5ef2e5f50b089720bf993bb1e2b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:54.134037Z digest=sha256:d6ed52b076598c624480ae7b8ba0cced55445259ead1bea2b001fd869ce4229c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:54.164041Z digest=sha256:90ef70cb9d702dc2e90f71b58691e9324c7c818ab913d97ae972befd87469628

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:b9553bf13b7b79d394990e737e6023a21957fdf72830db2395fed4529c29255e

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:cd2639af1173885e20fdbfe3dbed4e1f248bba4703abac0b4c917c4cbde7c428

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:54.340012Z digest=sha256:de111f081f68b46d89dbf552e82d61ba952278394feb2d8fb3390356dbf66c6d

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

Resolution
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=sha256:46829a8ff2b08dc91656cf5620bbf04550141229a92a7c7425ee44fc7b4c39c5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:54.454510Z digest=sha256:9cd3bad185e83866a40056e4f130115801657134fea11387b9b54b6ee5a5711a

Pith citing papers

No inbound Pith citation observations are available.