Paper Citation Record · LEDGER

ICR-RL: Deep Reinforcement Learning via In-Context Regression

As of 7 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 8 inbound Pith citation observations for arXiv:2509.11259.

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

pith.paper-citation-record.v1
2509.11259 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:52:12.064508Z

measured 31 of 31 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T07:13:43.014623Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy0
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 2b72894c-2a56-4bc3-9311-eafe04f6e3f3 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

ICR-RL: Deep Reinforcement Learning via In-Context Regression , " * write output.state after.block = add.period write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:09.673688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 496532dc-0da0-4a29-aba8-95ee561e3b3d · outbound

This paper cites write newline.

ICR-RL: Deep Reinforcement Learning via In-Context Regression write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:09.775508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a3a8fa4-8900-4225-b172-d861330856b8 · outbound

This paper cites an unresolved cited work.

ICR-RL: Deep Reinforcement Learning via In-Context Regression Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:09.887019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c0b4e36-5d23-4610-9c37-509124977563 · outbound

This paper cites an unresolved cited work.

ICR-RL: Deep Reinforcement Learning via In-Context Regression Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:09.962310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff5851c6-f5e3-419e-ab71-0f9e1465406c · outbound

This paper cites an unresolved cited work.

ICR-RL: Deep Reinforcement Learning via In-Context Regression Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:10.094685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c59eb3d-5533-4112-86a3-fdde9c9961b5 · outbound

This paper cites RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning.

ICR-RL: Deep Reinforcement Learning via In-Context Regression RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:10.146610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcc74421-141d-4bda-9901-5c42464dc153 · outbound

This paper cites What Can Transformers Learn In-Context? A Case Study of Simple Function Classes.

ICR-RL: Deep Reinforcement Learning via In-Context Regression What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:10.272420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e935cbf3-ccf0-480d-8a5d-001ad5269f55 · outbound

This paper cites H.; Tirumala, D.; Humplik, J.; Wulfmeier, M.; Tunyasuvunakool, S.; Siegel, N.

ICR-RL: Deep Reinforcement Learning via In-Context Regression H.; Tirumala, D.; Humplik, J.; Wulfmeier, M.; Tunyasuvunakool, S.; Siegel, N

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:10.383192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 036d50af-e912-462c-97af-2daa2247084c · outbound

This paper cites an unresolved cited work.

ICR-RL: Deep Reinforcement Learning via In-Context Regression Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:10.487706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aee241a-d8bd-4389-b519-d7cca44779d8 · outbound

This paper cites B.; Müller, S.; Salinas, D.; and Hutter, F.

ICR-RL: Deep Reinforcement Learning via In-Context Regression B.; Müller, S.; Salinas, D.; and Hutter, F

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:10.645806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a3020d1-61f3-480d-9681-8420f3623cb5 · outbound

This paper cites an unresolved cited work.

ICR-RL: Deep Reinforcement Learning via In-Context Regression Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:10.769855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75d6ce3f-96e3-4551-be7f-a37e1bbe9aec · outbound

This paper cites Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention.

ICR-RL: Deep Reinforcement Learning via In-Context Regression Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:10.872577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f504aefd-9b12-4db4-96d7-18b4bb383dbc · outbound

This paper cites an unresolved cited work.

ICR-RL: Deep Reinforcement Learning via In-Context Regression Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:10.960557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7e3c899-1bd2-42a4-8fa3-3b690bf1b4f7 · outbound

This paper cites A.; de Lope, J.; and Maravall, D.

ICR-RL: Deep Reinforcement Learning via In-Context Regression A.; de Lope, J.; and Maravall, D

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:11.078534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c3b3ae0-e54c-465e-ba78-d0ac495f815d · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

ICR-RL: Deep Reinforcement Learning via In-Context Regression Playing Atari with Deep Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:11.176652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce82cd46-4887-4741-a499-1461d6c8645d · outbound

This paper cites an unresolved cited work.

ICR-RL: Deep Reinforcement Learning via In-Context Regression Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:11.290929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b84a025a-b9c7-4146-9c52-4f1a4791a9bc · outbound

This paper cites Trust Region Policy Optimization.

ICR-RL: Deep Reinforcement Learning via In-Context Regression Trust Region Policy Optimization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:11.382075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5999da98-da5e-4025-9062-8f9b6fa7b76a · outbound

This paper cites Proximal Policy Optimization Algorithms.

ICR-RL: Deep Reinforcement Learning via In-Context Regression Proximal Policy Optimization Algorithms

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:11.482356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3e64ac5-d90a-4b29-af37-801afbe7d3eb · outbound

This paper cites an unresolved cited work.

ICR-RL: Deep Reinforcement Learning via In-Context Regression Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:11.590521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 102d1727-d5fc-4a89-b6e4-64a177f6f681 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

ICR-RL: Deep Reinforcement Learning via In-Context Regression Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:11.697175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85a0693c-5ac5-405e-a72b-87eff4d1fd22 · outbound

This paper cites an unresolved cited work.

ICR-RL: Deep Reinforcement Learning via In-Context Regression Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:11.854655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfbf3361-ed07-4e7f-bfa7-b3181f31fc3d · outbound

This paper cites an unresolved cited work.

ICR-RL: Deep Reinforcement Learning via In-Context Regression Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:11.964993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9a598b0-dd3f-4ee7-9845-b6aa3d14f549 · outbound

This paper cites Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset.

ICR-RL: Deep Reinforcement Learning via In-Context Regression Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:12.064508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 94f0cc0e-ff34-4a9a-87ef-f0ea401b4ae2 · inbound

TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models cites this paper.

TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models ICR-RL: Deep Reinforcement Learning via In-Context Regression

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:19:40.488978Z

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 01def5c4-06d9-4d4a-adea-2d77ee95aba9 · inbound

TabPFN-3: Technical Report cites this paper.

TabPFN-3: Technical Report ICR-RL: Deep Reinforcement Learning via In-Context Regression

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:19:40.488978Z

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 c437cc73-60fe-42b7-9068-49ab338a071a · inbound

TabPFN-3: Technical Report cites this paper.

TabPFN-3: Technical Report ICR-RL: Deep Reinforcement Learning via In-Context Regression

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:19:40.488978Z

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 e2d9e758-fa1e-46a2-aeeb-75656c78bd2c · inbound

TabQL: In-Context Q-Learning with Tabular Foundation Models cites this paper.

TabQL: In-Context Q-Learning with Tabular Foundation Models ICR-RL: Deep Reinforcement Learning via In-Context Regression

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:19:40.488978Z

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 c6d5a20c-4444-4e07-93bd-7c6d90b29e72 · inbound

Reinforcement Learning Foundation Models Should Already Be A Thing cites this paper.

Reinforcement Learning Foundation Models Should Already Be A Thing ICR-RL: Deep Reinforcement Learning via In-Context Regression

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-07T02:19:40.488978Z

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 ad01a961-5430-42a4-bf63-5b3b982c27e5 · inbound

FlexTab: A Flexible Encoder-Decoder Architecture for In-Context Learning Across Diverse Tabular Tasks cites this paper.

FlexTab: A Flexible Encoder-Decoder Architecture for In-Context Learning Across Diverse Tabular Tasks ICR-RL: Deep Reinforcement Learning via In-Context Regression

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:19:40.488978Z

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 85578b5a-556b-4c2d-89af-de405305faab · inbound

FlexTab: A Flexible Encoder-Decoder Architecture for In-Context Learning Across Diverse Tabular Tasks cites this paper.

FlexTab: A Flexible Encoder-Decoder Architecture for In-Context Learning Across Diverse Tabular Tasks ICR-RL: Deep Reinforcement Learning via In-Context Regression

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:19:40.488978Z

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 de65bdd6-f56a-47d1-a569-0b71999e5799 · inbound

Beyond IID: How General Are Tabular Foundation Models, Really? cites this paper.

Beyond IID: How General Are Tabular Foundation Models, Really? ICR-RL: Deep Reinforcement Learning via In-Context Regression

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:19:40.488978Z

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.