Pith. sign in

Paper Citation Record · LEDGER

Offline Reinforcement Learning as One Big Sequence Modeling Problem

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2106.02039.

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

pith.paper-citation-record.v1
2106.02039 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:35:39.570011Z

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

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

41
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7360d30c-505d-4538-b554-08770ec41cda · inbound

Decision Transformer: Reinforcement Learning via Sequence Modeling cites this paper.

Decision Transformer: Reinforcement Learning via Sequence Modeling Offline Reinforcement Learning as One Big Sequence Modeling Problem

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-18T15:11:11.160891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T15:11:11.056013Z digest=sha256:ab3ed995106875bd58997805879d247f81af7734376a52e26aecc9ce7ce79f85

Observation 48ce4c50-9a30-4f6e-a5a9-207e12756e1a · inbound

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation cites this paper.

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Offline Reinforcement Learning as One Big Sequence Modeling Problem

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-13T08:51:55.969658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T08:51:55.826747Z digest=sha256:68af7eb0968eb22a3c68ee33a1c1a16d9cce84700197269e0cd6ab78ea1f52c2

Observation 202d1f6c-1125-4b25-9ad8-dd40eb00abe9 · inbound

Energy-Efficient Deep Reinforcement Learning with Spiking Transformers cites this paper.

Energy-Efficient Deep Reinforcement Learning with Spiking Transformers Offline Reinforcement Learning as One Big Sequence Modeling Problem

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T15:35:39.570011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:35:39.570011Z digest=sha256:dde76c4e036e41a74dffdceb4badaccdcff4575626a601027549259d3eaa8b5f

Observation 7d9e7f4f-546a-4687-9090-e8350fe5eb42 · inbound

Learning to Ask: Decision Transformers for Adaptive Quantitative Group Testing cites this paper.

Learning to Ask: Decision Transformers for Adaptive Quantitative Group Testing Offline Reinforcement Learning as One Big Sequence Modeling Problem

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-05T12:27:30.189184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:27:30.189184Z digest=sha256:64c2993d4df5aee9dd104b55702de97ba13833666c2994463b6e1a6383bb8d1d

Observation f64cc53f-26f0-482e-ad13-3d08db675e1d · inbound

DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions cites this paper.

DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions Offline Reinforcement Learning as One Big Sequence Modeling Problem

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T13:56:26.202312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T13:55:16.513839Z digest=sha256:b4618aa1020a5757413a19df35c9fd52b7dc3b68ab150a2ed642d8f08aebbec2

Observation fcde7fc8-3f7f-4f72-9d9c-800dc3f5bcef · inbound

Neural CDEs as Correctors for Learned Time Series Models cites this paper.

Neural CDEs as Correctors for Learned Time Series Models Offline Reinforcement Learning as One Big Sequence Modeling Problem

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T23:28:41.068155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T23:23:44.658505Z digest=sha256:d9b9521f0268d75e70d56e97b2dbee0adf6e432304733eba2e8f81cf4fe91322

Observation 108aaaa6-b4aa-4103-ae52-177851e3fd74 · inbound

Built Environment Reasoning from Remote Sensing Imagery Using Large Vision--Language Models cites this paper.

Built Environment Reasoning from Remote Sensing Imagery Using Large Vision--Language Models Offline Reinforcement Learning as One Big Sequence Modeling Problem

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:11:13.370306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T01:10:24.579325Z digest=sha256:e8aa77137f07346f62ccda08e1740ccd2f57c49133d72ead0b0dd702411391ba

Observation 24f885d5-aed2-4e46-987e-288b022abf26 · inbound

Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agents cites this paper.

Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agents Offline Reinforcement Learning as One Big Sequence Modeling Problem

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T19:23:54.347059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-29T04:46:11.090693Z digest=sha256:ef797c4d634936c09d7751718334a81d87bb9edcced959729d78179cd508ab66

Observation 2a53cad0-456f-44a6-9f77-3a4a4f566747 · inbound

Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agents cites this paper.

Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agents Offline Reinforcement Learning as One Big Sequence Modeling Problem

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T22:49:01.095404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-03T22:41:41.912274Z digest=sha256:0c8087421830bf6ff16ad7f8f033fe7ca93afcf8ff33a0a5cc7be1d150ff61d1

Observation 80456a4f-6e67-439e-ac62-3e7320964f85 · inbound

Agent-Centric Animal Pose Forecasting cites this paper.

Agent-Centric Animal Pose Forecasting Offline Reinforcement Learning as One Big Sequence Modeling Problem

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T12:28:58.421567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:28:58.421567Z digest=sha256:7af3c8008bf87ee52dd20a1ea66c1178775b4c9622cca773142a84fabde043ea

Observation 28728bf6-ac0a-442e-a827-a0274850808b · inbound

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text cites this paper.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Offline Reinforcement Learning as One Big Sequence Modeling Problem

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-02T13:37:00.788718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T13:37:00.788718Z digest=sha256:c6915d39bdd4785b7983cc89f4fd667951c5c3699a235559c10f12e6d2070b7e

Observation c0571f47-a652-499c-83f0-55dc0f48d60d · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Offline Reinforcement Learning as One Big Sequence Modeling Problem

Reference 109

Resolution
unresolved
no resolver link, observed 2026-08-04T19:45:34.790387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:45:34.790387Z digest=sha256:f0d85348468579080bd1b91e56e9d0962f95d71d9a30ff7885ed88c6e96af9df