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Paper Citation Record · LEDGER

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations

As of 14 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2606.02221.

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

pith.paper-citation-record.v1
2606.02221 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T15:42:12.229493Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

50 of 50 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved48
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d791f37f-c112-4ed6-bc2a-9f638e6b56ce · outbound

This paper cites GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks , booktitle =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks , booktitle =

Reference 1

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Observation 5bb4e263-91f8-49c2-861a-3421f2c8c0be · outbound

This paper cites Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual , year =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual , year =

Reference 2

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Observation e5ec1a7f-25b7-41e7-a249-c55df3951245 · outbound

This paper cites Forty-first International Conference on Machine Learning,.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Forty-first International Conference on Machine Learning,

Reference 3

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Observation a9729539-345d-49d4-937e-55412158c1cf · outbound

This paper cites Davison , title =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Davison , title =

Reference 4

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source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:1b262ca6808d061e61090197e7ba3f0c89f5a431acf8300c642005a75eb21774

Observation 32188f90-e12d-4187-871b-54afbecae580 · outbound

This paper cites an unresolved cited work.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Unresolved cited work

Reference 5

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source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:2946790e6b1658e28e43e1a2796f2865643ca3f1a104ed27c195f02f0a632203

Observation 485e28c8-94b3-4d24-b688-16c1c1230a5a · outbound

This paper cites Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning , booktitle =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning , booktitle =

Reference 6

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Observation ee6ce4a6-3b81-4b3b-9727-7284b6231e4b · outbound

This paper cites Chi , title =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Chi , title =

Reference 7

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source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:93e781c0fcd1534bcf0fe0241d495832f560e971c813fa2df544f9c319f1563c

Observation ef5bb014-d284-4a2c-a11a-aaf9dba422b2 · outbound

This paper cites an unresolved cited work.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:44b69d0dbf2a633352bb878a70e1b7b68fadd369bd5922f528bbe1fb30170ee9

Observation 16559193-8bd4-4579-824d-014cf6774905 · outbound

This paper cites Computer Vision -.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Computer Vision -

Reference 9

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Observation a9e732f2-cbec-435a-8545-35943c73f9fa · outbound

This paper cites an unresolved cited work.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Unresolved cited work

Reference 10

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Observation ae269c82-ac7b-4ed8-b0c8-6d51e4930f22 · outbound

This paper cites an unresolved cited work.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Unresolved cited work

Reference 11

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Observation deb89d01-fbbd-420f-9f95-e24ec3e73424 · outbound

This paper cites Richter and Vibhav Vineet and Stefan Roth and Vladlen Koltun , title =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Richter and Vibhav Vineet and Stefan Roth and Vladlen Koltun , title =

Reference 12

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Observation 28ab9324-6c60-4616-abd9-596cfc67eacf · outbound

This paper cites Dietterich , title =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Dietterich , title =

Reference 13

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Observation 9287cd5d-a5eb-4cd6-802c-c77ff3ea3a43 · outbound

This paper cites Ecker and Matthias Bethge and Wieland Brendel , title =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Ecker and Matthias Bethge and Wieland Brendel , title =

Reference 14

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Observation c20201b6-5df6-447b-bd5e-34ce28e6b3f0 · outbound

This paper cites an unresolved cited work.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Unresolved cited work

Reference 15

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Observation adebd848-6e74-4b0b-877f-ebaf9b204758 · outbound

This paper cites Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montr.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montr

Reference 16

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Observation 2e4798cd-92e2-4065-969f-2f5593b37a6f · outbound

This paper cites International Conference on Machine Learning,.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations International Conference on Machine Learning,

Reference 17

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Observation 8213eebe-f5bd-4274-b24a-0e0d3fd0a28a · outbound

This paper cites Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual , pages =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual , pages =

Reference 18

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Observation da60e087-4670-4258-acfa-804fe4fd339b · outbound

This paper cites CoRR , volume =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations CoRR , volume =

Reference 19

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Observation e36931d2-7dc3-4c3e-9ebf-0f1975db2c27 · outbound

This paper cites CoRR , volume =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations CoRR , volume =

Reference 20

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Observation 766db903-fb9c-41a8-9aa2-26d49d956cc3 · outbound

This paper cites CoRR , volume =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations CoRR , volume =

Reference 21

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Observation ac947530-7c7a-4f68-b90f-fc1789dae3b9 · outbound

This paper cites Neural Networks , pages=.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Neural Networks , pages=

Reference 22

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Observation d7834792-64d5-47e7-97e5-ced38172135c · outbound

This paper cites an unresolved cited work.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Unresolved cited work

Reference 23

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Observation ce581c0d-59b4-424c-a4f4-cf77810436a7 · outbound

This paper cites Chi , title =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Chi , title =

Reference 24

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source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:34d7acbcb5c70b7b35e8c381487498b4a380ae7b56d4920a26658a43a2e48ea0

Observation 89fc176b-1b29-4650-b613-ec6c27720ee4 · outbound

This paper cites RecSys 2020: Fourteenth.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations RecSys 2020: Fourteenth

Reference 25

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Observation f02c390f-ef2f-4f9b-9bef-9b47b61209f3 · outbound

This paper cites Forty-second International Conference on Machine Learning,.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Forty-second International Conference on Machine Learning,

Reference 26

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Observation 35acab7c-cfa6-475e-a3a7-96b3a163059a · outbound

This paper cites CoRR , volume =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations CoRR , volume =

Reference 27

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Observation aef9c004-5221-4ab1-8f80-f1124a4dd205 · outbound

This paper cites RotoGrad: Gradient Homogenization in Multitask Learning , booktitle =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations RotoGrad: Gradient Homogenization in Multitask Learning , booktitle =

Reference 28

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Observation 0fefd022-55da-4128-886f-72b073e24aea · outbound

This paper cites Invariant Risk Minimization , journal =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Invariant Risk Minimization , journal =

Reference 29

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Observation 0652ba70-96aa-45f2-b1cd-9845b3214db8 · outbound

This paper cites an unresolved cited work.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Unresolved cited work

Reference 30

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Observation a06f2172-4a05-45e6-b034-55be0ca94428 · outbound

This paper cites International Conference on Artificial Intelligence and Statistics,.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations International Conference on Artificial Intelligence and Statistics,

Reference 31

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Observation 65160701-66ae-4de5-a712-4b950e077a92 · outbound

This paper cites Mitigating Negative Transfer via Reducing Environmental Disagreement , journal =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Mitigating Negative Transfer via Reducing Environmental Disagreement , journal =

Reference 32

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source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:200734160f7c6e7d1e017f6e2648c384a63a5a98b6f2fc8f8e40b2378dd66380

Observation ef937756-8058-4392-b06f-21fa114d4d3f · outbound

This paper cites Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning , booktitle =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning , booktitle =

Reference 33

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Observation d3190834-4b5a-45d6-a1b8-a1bfd5d9e534 · outbound

This paper cites The Twelfth International Conference on Learning Representations,.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations The Twelfth International Conference on Learning Representations,

Reference 34

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source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:482d7b562620c6485aff46d56c882a04385c9d6b12a618b2e1b1b6213aa03847

Observation 1e633d23-7f01-40d9-963a-7ade325eb731 · outbound

This paper cites Multi-dimensional Neural Decoding with Orthogonal Representations for Brain-Computer Interfaces.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Multi-dimensional Neural Decoding with Orthogonal Representations for Brain-Computer Interfaces

Reference 35

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arxiv_id, observed 2026-07-01T22:06:16.947015Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:a15842ba9d2636df597698c7badfb28e37fe01ab74892c67b174715d61a84e24

Observation f09af8d1-6e34-4d6c-93df-39c306ae62c1 · outbound

This paper cites Findings of the Association for Computational Linguistics:.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Findings of the Association for Computational Linguistics:

Reference 36

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Observation 6104fb62-a466-4d93-9ae2-7cb8dd51ded2 · outbound

This paper cites International Conference on Machine Learning,.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations International Conference on Machine Learning,

Reference 37

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Observation 18b08665-de03-440a-bd09-1338f304040c · outbound

This paper cites Computer Vision -.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Computer Vision -

Reference 38

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source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:68f165a7bbf54fdd12de6136441326f55d83036d83520a59ceb4e6178a5cd043

Observation 246b0517-3578-4218-84f7-5281ba42690f · outbound

This paper cites Blaschko and Maarten De Vos , title =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Blaschko and Maarten De Vos , title =

Reference 39

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unresolved
no resolver link, observed 2026-06-28T15:42:12.229493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:c43788ee4c516870a0ccdd1182fa818e4237d4f7c949f19e27c189785c524dfe

Observation b123b00f-f221-4aab-9151-e6105c0c7ccd · outbound

This paper cites Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations , booktitle =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations , booktitle =

Reference 40

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:12.229493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:a9d68b29122efb88e084c6a1e307f624978efef8934090999fd12f165f8193f3

Observation 467cba28-777d-465a-ac6b-93e4847f7950 · outbound

This paper cites Hinton , editor =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Hinton , editor =

Reference 41

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:12.229493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:98bda4d0d5fd945f48f9c2bccf67cc5a37999f73ac84e851a597a83d766d0e60

Observation fceb6223-db0e-4b47-94f7-c32afd96bae1 · outbound

This paper cites Efros and Eli Shechtman and Oliver Wang , title =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Efros and Eli Shechtman and Oliver Wang , title =

Reference 42

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:12.229493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:baa1c1304a8c802f3dc326c243c0e70d596ee04611874848ca83fc9b8fbdcf01

Observation 14286b9b-ab94-484d-9fb4-faeca34bc511 · outbound

This paper cites Advances in neural information processing systems , volume=.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Advances in neural information processing systems , volume=

Reference 43

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unresolved
no resolver link, observed 2026-06-28T15:42:12.229493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:2f56fc39d3a23d6bd76982a6f752c1b3e11fb59500ffdb928a4a5a178ac5cd7a

Observation afc2e8a2-225b-42df-aedd-4ed731e06d84 · outbound

This paper cites 9th International Conference on Learning Representations,.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations 9th International Conference on Learning Representations,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:12.229493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:5edc7ff9464be95cd3ac4bd00d14aefef83ad831a206f5a3249bb0b0b08caf01

Observation b88d588b-b981-4656-a1f3-691d53d82b3d · outbound

This paper cites an unresolved cited work.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Unresolved cited work

Reference 45

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unresolved
no resolver link, observed 2026-06-28T15:42:12.229493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:793d2bc96d56bbe94cd6f32c223fc8a531fd66226b73531aa7cf16c0fab8f0c1

Observation 621bb14b-5550-4a01-92df-63bf8a70b7f4 · outbound

This paper cites Multi-Objective Meta Learning , booktitle =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Multi-Objective Meta Learning , booktitle =

Reference 46

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unresolved
no resolver link, observed 2026-06-28T15:42:12.229493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:68b460b6b5085d17e0601f003d96d51efe35f7663005f8f476bd3ca36021ddbd

Observation ee5b0004-2df4-4bea-a288-2369e2c14383 · outbound

This paper cites Tsang , title =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Tsang , title =

Reference 47

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unresolved
no resolver link, observed 2026-06-28T15:42:12.229493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:f68b2f1c41ab914f6d65489c603a33d9dd730f9366d3e99791b72c83c98cd625

Observation cde660a4-c432-4948-87ff-a6f476740b0e · outbound

This paper cites Fair Resource Allocation in Multi-Task Learning , booktitle =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Fair Resource Allocation in Multi-Task Learning , booktitle =

Reference 48

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unresolved
no resolver link, observed 2026-06-28T15:42:12.229493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:cda87c19a25dfb34a0e81beba218232d0dd198733ac029cd87093a04d5d9ff16

Observation 2c9ebc1c-3a8a-4794-8436-fc84dad12fa0 · outbound

This paper cites Robust Multi-Task Learning with Excess Risks , booktitle =.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Robust Multi-Task Learning with Excess Risks , booktitle =

Reference 49

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unresolved
no resolver link, observed 2026-06-28T15:42:12.229493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:7be33b13530cc836198d37b1926edbdc04525276a037a573135a5c473b990479

Observation c019df26-408f-4868-a24e-d4a19ba2041d · outbound

This paper cites Jakubik, F.

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Jakubik, F

Reference 50

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T15:42:21.569203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T15:42:12.229493Z digest=sha256:ae25da1958b9bbacd04b7699dc695fb5ceaf49e15310a9c22708ef09bddc08aa

Pith citing papers

No inbound Pith citation observations are available.