Paper Citation Record · LEDGER

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning?

As of 18 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2507.10174.

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

pith.paper-citation-record.v1
2507.10174 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:42:27.411920Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

verified exact1
verified fuzzy19
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dbc15585-d58c-4e5a-a0e4-f9a187977dd9 · outbound

This paper cites Bhargava, S.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? Bhargava, S

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.738241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 31d93aa1-c042-4bcc-8421-f0c211f82ad6 · outbound

This paper cites Q-transformer: Scalable offline reinforcement learning via autoregressive q-functions.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? Q-transformer: Scalable offline reinforcement learning via autoregressive q-functions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.722222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5a73efac-3a6a-47e5-a043-c0262fefa2c5 · outbound

This paper cites an unresolved cited work.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:42:29.704959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f58d721-7ad8-4922-9109-4ea5702c998a · outbound

This paper cites RvS : What is essential for offline rl via supervised learning? In NeurIPS Offline Reinforcement Learning Workshop, 2021.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? RvS : What is essential for offline rl via supervised learning? In NeurIPS Offline Reinforcement Learning Workshop, 2021

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.689576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec031408-03dc-4c7c-a2b4-e955710b52ad · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:25.451565Z

Source-reported events for the cited work

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Observation e47883e8-a3c2-4d0b-aa3d-0caeeb910645 · outbound

This paper cites Generalized decision transformer for offline hindsight information matching.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? Generalized decision transformer for offline hindsight information matching

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.673067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ef54741-ec1f-42e3-a52a-34a18a81a9a1 · outbound

This paper cites Instruction-driven history-aware policies for robotic manipulations.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? Instruction-driven history-aware policies for robotic manipulations

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.657960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0bc8c67b-1b22-479d-b29e-4d3b65f580fb · outbound

This paper cites Graph Decision Transformer.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? Graph Decision Transformer

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:42:27.767178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation efcfa5f3-79e9-4e65-930e-b873ba4f623c · outbound

This paper cites Q-value regularized transformer for offline reinforcement learning.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? Q-value regularized transformer for offline reinforcement learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.642825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 088c834f-0f9f-4a8a-9fe5-0c725dd7329a · outbound

This paper cites Janner, Q.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? Janner, Q

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.627010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 08ae6021-c678-4d94-8280-2d51ca1d817b · outbound

This paper cites Kumar, A.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? Kumar, A

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.608950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 171cd69c-06aa-4efc-93cf-176c9a118167 · outbound

This paper cites Pre-trained language models for interactive decision-making.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? Pre-trained language models for interactive decision-making

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.593244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cf874310-516d-41b6-ada4-ea9f5308f1d0 · outbound

This paper cites A survey on transformers in reinforcement learning.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? A survey on transformers in reinforcement learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.576712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 641db10f-ae80-450f-bdac-359902819666 · outbound

This paper cites What matters in learning from offline human demonstrations for robot manipulation.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? What matters in learning from offline human demonstrations for robot manipulation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.562118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb5e84e9-87bb-4d0a-affc-d263cece530e · outbound

This paper cites Stabilizing transformers for reinforcement learning.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? Stabilizing transformers for reinforcement learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.544626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7a6e986d-fc7b-4212-aa8d-04fd4e946465 · outbound

This paper cites You can’t count on luck: Why decision transformers and rvs fail in stochastic environments.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? You can’t count on luck: Why decision transformers and rvs fail in stochastic environments

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.528256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9fb593fa-9457-4019-8ac4-f50b52d6e8d8 · outbound

This paper cites an unresolved cited work.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:42:29.512678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0dd13ca9-b91c-4e5c-8f73-15c92ba8be4e · outbound

This paper cites The sensory neuron as a transformer: Permutation-invariant neural networks for reinforcement learning.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? The sensory neuron as a transformer: Permutation-invariant neural networks for reinforcement learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.496764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 58da4b59-b99f-40b8-abcd-56462b70d50c · outbound

This paper cites CORL : Research-oriented deep offline reinforcement learning library.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? CORL : Research-oriented deep offline reinforcement learning library

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.478645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9380dfbe-915e-420e-8ac7-98ea048683a5 · outbound

This paper cites Vaswani, N.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? Vaswani, N

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.340003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aede287f-7bda-48c5-94b4-2f4aeceb1295 · outbound

This paper cites Bootstrapped transformer for offline reinforcement learning.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? Bootstrapped transformer for offline reinforcement learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:28.931143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 75a474c1-d5e6-45f3-90de-f9c1df2c31fe · outbound

This paper cites Q-learning decision transformer: Leveraging dynamic programming for conditional sequence modelling in offline rl.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? Q-learning decision transformer: Leveraging dynamic programming for conditional sequence modelling in offline rl

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:28.594866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d4cd0e3f-4e41-4c86-b79d-a1e053e281c4 · outbound

This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:27.045068Z

Source-reported events for the cited work

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Observation d4345cf4-a529-412b-8170-5051cfd2d355 · outbound

This paper cites Robosuite environments documentation.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? Robosuite environments documentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:28.171415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7e72b31b-b612-4508-9cd0-b8cc4a2c8700 · outbound

This paper cites write newline.

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? write newline

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:27.411920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.