Paper Citation Record · LEDGER

Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks?

As of 16 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.

pith.paper-citation-record.v1
2502.08991 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:10:14.485065Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:59:20.162242Z

measured 0 of 1 external citation measurements

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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

Observation e0efbde0-df55-4f85-b71d-932c6f80aeb4 · outbound

This paper cites and Urner, R.

Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks? 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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.