Paper Citation Record · LEDGER

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models

As of 7 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2506.01919.

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

pith.paper-citation-record.v1
2506.01919 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:40:59.125143Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:12:29.063618Z

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 exact4
verified fuzzy5
unresolved40
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b37cdf96-cab3-43d4-9850-c902584a7c54 · outbound

This paper cites GPT-4 Technical Report.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:12.667810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2776fbb9-3174-4dd5-a944-291bb90654cf · outbound

This paper cites an unresolved cited work.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:41:14.576099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9e33608f-18f7-45d9-9f4e-1fa306a3e8bc · outbound

This paper cites What learning algorithm is in-context learning? Investigations with linear models.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models What learning algorithm is in-context learning? Investigations with linear models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:23.398864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de0af1fd-b6c7-47bf-80d8-0f98468a9cb7 · outbound

This paper cites an unresolved cited work.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:23.658854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb355573-f35e-4bbf-9f23-d86137c98bd3 · outbound

This paper cites an unresolved cited work.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:41:14.394357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5c47feb1-a624-4b5a-8b6a-7963b64d22c2 · outbound

This paper cites an unresolved cited work.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:41:14.225147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 055ae442-6429-4ada-b088-70b6f7c76574 · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:32.879319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 693a0ccf-5081-41c1-97cc-3ab3f968d44d · outbound

This paper cites an unresolved cited work.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:41:14.017424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 37303a8d-8c66-443b-b845-98f7ab01a44b · outbound

This paper cites Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:35.806691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16078ba0-f8ee-4248-88a5-e724faf3065b · outbound

This paper cites Learning higher-order sequential structure with cloned HMMs.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Learning higher-order sequential structure with cloned HMMs

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:40:59.940388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6639830b-7776-4d2c-ab1b-dd86daaf804a · outbound

This paper cites A Survey on In-context Learning.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models A Survey on In-context Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:35.988583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 856b3693-b88d-428b-8f3b-c6f6e6f6f7f8 · outbound

This paper cites The Llama 3 Herd of Models.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models The Llama 3 Herd of Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:36.043974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85af8bd4-a4d9-4667-8b5c-42a18f74b032 · outbound

This paper cites Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:40:59.778041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc45da97-be6b-4d0e-ad80-1602fce61a2a · outbound

This paper cites an unresolved cited work.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:41:13.864748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ce7fccea-3bfa-412f-9872-5f705a1749dc · outbound

This paper cites S., and Valiant, G.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models S., and Valiant, G

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:53.229870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 748cf294-8c43-46f6-b1b0-115609ca86c8 · outbound

This paper cites an unresolved cited work.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:41:13.682483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 371d5abd-36dd-454a-a5e3-c3930026e809 · outbound

This paper cites How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:55.541675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6110633-2700-40ad-8141-d7ab93d2bfb0 · outbound

This paper cites L., Fard, M.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models L., Fard, M

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:41:13.576491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c6a0104b-e2a7-4746-a357-8b40f9b81dc6 · outbound

This paper cites M., and Zhang, T.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models M., and Zhang, T

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:41:13.334479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 04cfe5c6-48d7-47bf-9ad2-f2da8a8e07b9 · outbound

This paper cites A Latent Space Theory for Emergent Abilities in Large Language Models.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models A Latent Space Theory for Emergent Abilities in Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:55.929001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9667b24a-9dc6-4a70-8616-4d08a9a512a1 · outbound

This paper cites an unresolved cited work.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:41:13.149079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 50c28daa-a967-4087-85c5-2fc111ff7716 · outbound

This paper cites Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:56.046409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 890197f7-e19f-432c-91dc-9beb7e6903c1 · outbound

This paper cites DeepSeek-V3 Technical Report.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models DeepSeek-V3 Technical Report

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:57.515045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bae81ac-d125-41e9-bf4f-39ce966d6004 · outbound

This paper cites Transformers Learn Shortcuts to Automata.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Transformers Learn Shortcuts to Automata

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:57.702995Z

Source-reported events for the cited work

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Observation 06255387-f9d0-473d-b2c2-6b5e540c3c44 · outbound

This paper cites an unresolved cited work.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:41:12.925106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fe0c9757-5b8e-414f-9857-a3e00522e994 · outbound

This paper cites One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:57.792547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed888521-334d-46be-b910-a37d407f457f · outbound

This paper cites an unresolved cited work.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:41:12.710778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ff75ee10-68d8-4aa0-8153-f544be1c01b3 · outbound

This paper cites How Transformers Learn Causal Structure with Gradient Descent.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models How Transformers Learn Causal Structure with Gradient Descent

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:57.895555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 326c245e-c853-4bdb-b297-3cf83230767f · outbound

This paper cites an unresolved cited work.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:41:12.451322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1bbec8c5-d780-4efd-b101-c71eff7e0608 · outbound

This paper cites How do Transformers perform In-Context Autoregressive Learning?.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models How do Transformers perform In-Context Autoregressive Learning?

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T11:40:59.562424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bbe4fb67-cc2c-4df4-8f49-8e65cf0b7eb6 · outbound

This paper cites an unresolved cited work.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:41:12.243872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d925f7b2-3ae8-4090-8b14-6240d68b8245 · outbound

This paper cites an unresolved cited work.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:41:11.710017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 779e0284-b2c4-450c-8704-da4d773c4b42 · outbound

This paper cites M., Gordon, G.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models M., Gordon, G

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:41:11.279696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf229b8a-0ba3-499e-80ec-c0e29e1ddead · outbound

This paper cites an unresolved cited work.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Unresolved cited work

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3cdea488-9094-47f5-a437-92a721f7c29b · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Gemini: A Family of Highly Capable Multimodal Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:58.150549Z

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Unavailable: canonical work link unavailable.

Observation d1d4c934-f4a0-4538-9fc2-4ddb244e4398 · outbound

This paper cites an unresolved cited work.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:41:10.501658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f2c721da-71f6-4cf5-b227-b7e4ecb95e08 · outbound

This paper cites D., Kallus, N., and Sun, W.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models D., Kallus, N., and Sun, W

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:41:10.221761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8ec3ccfb-8c15-4498-bf95-836c4064540a · outbound

This paper cites Representation Learning for Online and Offline RL in Low-rank MDPs.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Representation Learning for Online and Offline RL in Low-rank MDPs

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:58.356295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d11c2078-b3e0-4003-85bc-00a0f8735915 · outbound

This paper cites and De Moor, B.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models and De Moor, B

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:41:10.002634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b144fd76-23a1-4a73-8fea-c564226b56d4 · outbound

This paper cites an unresolved cited work.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:41:09.757295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e694279-6e89-4837-8944-32f5895c4042 · outbound

This paper cites Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:40:59.387616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 31ef48d3-c761-481b-8322-7b40f84d5bf2 · outbound

This paper cites Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:58.649659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61bfc8df-6e29-498f-a4bb-b80796adfafa · outbound

This paper cites Emergent Abilities of Large Language Models.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Emergent Abilities of Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:58.654553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 731d3c29-9af1-406b-9439-20e3501f0d56 · outbound

This paper cites Transformers and Their Roles as Time Series Foundation Models.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Transformers and Their Roles as Time Series Foundation Models

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:40:59.244921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9d9de378-adb2-4292-99b9-f01158159a3d · outbound

This paper cites An Explanation of In-context Learning as Implicit Bayesian Inference.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models An Explanation of In-context Learning as Implicit Bayesian Inference

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:58.725453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ddbca05-3e2f-4a35-a360-4dbf9c978d31 · outbound

This paper cites an unresolved cited work.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:41:09.531435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2da23092-c1ae-4d83-8bc9-f31ae897ad70 · outbound

This paper cites an unresolved cited work.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:41:09.288353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a4394478-de6c-47ae-8fce-b8b756c13a87 · outbound

This paper cites PAC Reinforcement Learning for Predictive State Representations.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models PAC Reinforcement Learning for Predictive State Representations

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:58.992054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 921f6718-d955-4964-b11a-baad02b271c8 · outbound

This paper cites an unresolved cited work.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:41:08.735863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cd2b7cde-9753-4264-84e6-239d9620c0e8 · outbound

This paper cites GEC: A Unified Framework for Interactive Decision Making in MDP, POMDP, and Beyond.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models GEC: A Unified Framework for Interactive Decision Making in MDP, POMDP, and Beyond

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:59.125143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ed003c3e-4a09-4780-9dd9-fc76dc6516a7 · inbound

Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models cites this paper.

Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T10:12:29.063618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.