Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T23:10:14.485065Z
Paper Citation Record · LEDGER
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks?
As of 15 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 3 inbound Pith citation observations for arXiv:2502.08991.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:59:20.162242Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T20:38:56.102343Z
Reference resolution
39 of 39 outbound references displayed
- verified exact0
- verified fuzzy26
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 62aea5a4-be93-4f7a-b6d8-7c2e6c75a887 · outbound
This paper cites write newline.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? write newline
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:10:14.280082Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0153bb8b-a30f-4a6b-8b59-bb62c4d17c0f · outbound
This paper cites How far can transformers reason? the locality barrier and inductive scratchpad.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? How far can transformers reason? the locality barrier and inductive scratchpad
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:15.145154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 924bd262-4e8a-4ceb-a6fc-5bc32624580b · outbound
This paper cites and Bengio, Y.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? and Bengio, Y
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:15.125955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7fa4a20c-eaac-4e4c-9216-ec1a73cd7659 · outbound
This paper cites an unresolved cited work.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T23:10:15.101687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 75adaf68-3c6d-4afc-8ce7-abd4448c08c3 · outbound
This paper cites Invariant Risk Minimization.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Invariant Risk Minimization
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:10:14.304636Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d037a70-9788-4a97-9627-28f2f26a3cf5 · outbound
This paper cites A Theory for Emergence of Complex Skills in Language Models.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? A Theory for Emergence of Complex Skills in Language Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:10:14.310979Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e88e531d-12c4-431c-be9c-1ffd59953628 · outbound
This paper cites Transformers as statisticians: Provable in-context learning with in-context algorithm selection.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Transformers as statisticians: Provable in-context learning with in-context algorithm selection
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:15.082589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e0efbde0-df55-4f85-b71d-932c6f80aeb4 · outbound
This paper cites and Urner, R.
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:15.064939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1c9a15f2-ad4e-4f36-b68e-78474f51bea7 · outbound
This paper cites Understanding in-context learning in transformers and LLM s by learning to learn discrete functions.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Understanding in-context learning in transformers and LLM s by learning to learn discrete functions
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:15.046470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b6a749bc-76bc-44e0-9487-0977fdee26c1 · outbound
This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:10:14.333746Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c25facf7-9000-4ad5-8dba-82f3cc751dfc · outbound
This paper cites Learning bounds for importance weighting.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Learning bounds for importance weighting
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:15.017566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bc32888e-2a2d-401f-9d0b-5e92843bf9fd · outbound
This paper cites S., Koushik, J., Singh, A., and P \'o czos, B.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? S., Koushik, J., Singh, A., and P \'o czos, B
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.998964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 35d20199-66ed-4056-a0ef-af79bc14d9e8 · outbound
This paper cites Distributionally robust losses for latent covariate mixtures.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Distributionally robust losses for latent covariate mixtures
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.979593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1a73132f-4949-4874-9d37-6e6c152352b4 · outbound
This paper cites L., Jiang, L., Lin, B.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? L., Jiang, L., Lin, B
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.962907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bde05660-c5eb-480b-b506-2778bedaecd8 · outbound
This paper cites S., and Valiant, G.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? S., and Valiant, G
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.945925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4c76ca32-5ed3-4f26-9243-f056d20f4db0 · outbound
This paper cites Instruct-skillmix: A powerful pipeline for llm instruction tuning.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Instruct-skillmix: A powerful pipeline for llm instruction tuning
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.928932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 999df2fa-119e-44b3-8af4-a8c116bad283 · outbound
This paper cites Measuring compositional generalization: A comprehensive method on realistic data.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Measuring compositional generalization: A comprehensive method on realistic data
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.912147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 97f8fbd3-52b7-4e3e-a67b-94fe78deabe7 · outbound
This paper cites an unresolved cited work.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Unresolved cited work
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:10:14.376523Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6db14cab-7fae-41c9-913e-20eff14460bc · outbound
This paper cites and Martinet, G.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? and Martinet, G
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:10:14.381963Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a3d8ac9-66d6-4824-bea0-8582f3732b69 · outbound
This paper cites and Baroni, M.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? and Baroni, M
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.870747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8f67344f-aad9-4c64-aefb-41455b28fc04 · outbound
This paper cites Near-optimal linear regression under distribution shift.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Near-optimal linear regression under distribution shift
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.852964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 88fb128e-1ae8-49cf-a731-8f3842999ca9 · outbound
This paper cites E., Papailiopoulos, D., and Oymak, S.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? E., Papailiopoulos, D., and Oymak, S
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.835428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 083c735f-4e75-4d3e-a084-292b7b9cf967 · outbound
This paper cites and Stachenfeld, K.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? and Stachenfeld, K
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.818514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 77878615-63e6-4435-9eff-22704501f82e · outbound
This paper cites an unresolved cited work.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T23:10:14.800681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1325c223-ad76-49c5-9bdb-1c3c5e33185f · outbound
This paper cites Towards deep learning models resistant to adversarial attacks.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Towards deep learning models resistant to adversarial attacks
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:10:14.413618Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6aad1bfb-0c11-4b31-b29a-959e79369dcf · outbound
This paper cites Domain adaptation: Learning bounds and algorithms.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Domain adaptation: Learning bounds and algorithms
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.769652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 247e6d12-133f-41b8-9a37-335c01f52891 · outbound
This paper cites M., Yang, F., Duchi, J., and Liang, P.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? M., Yang, F., Duchi, J., and Liang, P
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.751151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f0c22ce3-2071-4c01-bd02-27e0e3578c4c · outbound
This paper cites Y., Padmakumar, V., Joshi, N., Kazemi, M., Kim, N., and He, H.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Y., Padmakumar, V., Joshi, N., Kazemi, M., Kim, N., and He, H
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.734372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f53b3e7e-2e6d-482a-bd0d-ffdda26056c2 · outbound
This paper cites M., Von Oswald, J., Pascanu, R., Sacramento, J., and Steger, A.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? M., Von Oswald, J., Pascanu, R., Sacramento, J., and Steger, A
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.717244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b4d72497-09bb-4e5b-8080-f084fc31d32d · outbound
This paper cites Out-of-distribution generalization via composition: a lens through induction heads in transformers.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Out-of-distribution generalization via composition: a lens through induction heads in transformers
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.700090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4d128c4b-71d7-4905-80fe-fee12b9b1fb9 · outbound
This paper cites Covariate shift adaptation by importance weighted cross validation.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Covariate shift adaptation by importance weighted cross validation
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:10:14.444257Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37b26579-18f0-4cd6-b09f-af1463ae99f7 · outbound
This paper cites H., Hashimoto, T., Vinyals, O., Liang, P., Dean, J., and Fedus, W.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? H., Hashimoto, T., Vinyals, O., Liang, P., Dean, J., and Fedus, W
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.671092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a59d0f81-e176-49c5-87d3-fc061784cfa4 · outbound
This paper cites From sparse dependence to sparse attention: Unveiling how chain-of-thought enhances transformer sample efficiency.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? From sparse dependence to sparse attention: Unveiling how chain-of-thought enhances transformer sample efficiency
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.652867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7aa64d73-8eac-435d-b3ad-b9b734c68ccb · outbound
This paper cites Compositional generalization from first principles.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Compositional generalization from first principles
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.634476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 65ae73e0-2392-4e54-b835-826e49d8e599 · outbound
This paper cites Transformers: State-of-the-art natural language processing.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Transformers: State-of-the-art natural language processing
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.617868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 354eac17-cda4-41fa-ac96-3e69543a0b5b · outbound
This paper cites Do large language models have compositional ability? an investigation into limitations and scalability.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Do large language models have compositional ability? an investigation into limitations and scalability
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T23:10:14.599849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c75f9c5d-be2b-4a30-b4dc-92bc57e582fc · outbound
This paper cites Towards a theoretical framework of out-of-distribution generalization.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Towards a theoretical framework of out-of-distribution generalization
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:10:14.473760Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0358ef3-3830-4caf-9417-1d990115148a · outbound
This paper cites Can models learn skill composition from examples? Advances in Neural Information Processing Systems, 37: 0 102393--102427, 2024.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Can models learn skill composition from examples? Advances in Neural Information Processing Systems, 37: 0 102393--102427, 2024
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:10:14.479644Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6bcc1c9-cbc2-4027-892c-4be536d522be · outbound
This paper cites an unresolved cited work.
Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? Unresolved cited work
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:10:14.485065Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 33880408-792c-4816-8f9c-0f58a1f37073 · inbound
Extrapolation by Association: Length Generalization Transfer in Transformers cites this paper.
Extrapolation by Association: Length Generalization Transfer in Transformers Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks?
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:59:20.162242Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b02244a8-dde9-4b27-9c8f-467b56fadc67 · inbound
Generalization in LLM Problem Solving: The Case of the Shortest Path cites this paper.
Generalization in LLM Problem Solving: The Case of the Shortest Path Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks?
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T10:39:38.019624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 393580e0-f8a0-4f1e-be5f-a887f9cdb9eb · inbound
From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning cites this paper.
From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks?
Reference 145
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T20:38:56.103753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.