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Paper Citation Record · LEDGER

Is Value Learning Really the Main Bottleneck in Offline RL?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.09329.

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

pith.paper-citation-record.v1
2406.09329 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 2026-08-07T20:57:48.469909Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T07:51:16.615978Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6b3811a6-5473-4d7d-b310-b45c473d7ab6 · inbound

Digi-Q: Learning Q-Value Functions for Training Device-Control Agents cites this paper.

Digi-Q: Learning Q-Value Functions for Training Device-Control Agents Is Value Learning Really the Main Bottleneck in Offline RL?

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T20:57:48.469909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:57:48.469909Z digest=sha256:830f572842cd5dd2e6c3782d70a59bbb2ae4b9843be8fa6debcaee6cb3d67c15

Observation d4eaee66-7207-4e20-a551-212ec8395e2c · inbound

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners cites this paper.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Is Value Learning Really the Main Bottleneck in Offline RL?

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T12:58:51.847608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:58:51.847608Z digest=sha256:58e2f2f5780e87e9cacda8b52970788051ce24e75c010a582ba4f1baee9300d2

Observation 70bb6af2-175d-4079-90f9-62e81ef5c241 · inbound

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning cites this paper.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Is Value Learning Really the Main Bottleneck in Offline RL?

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:52:15.304858Z

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.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:7cb82836189158293d1fd9641f590eb3bad6035bbcc976ceb81e5717b96c2a7e

Observation 0896bea1-2c1b-4c78-b65f-52c933f0f0d3 · inbound

Intention-Conditioned Flow Occupancy Models cites this paper.

Intention-Conditioned Flow Occupancy Models Is Value Learning Really the Main Bottleneck in Offline RL?

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:27:14.566559Z

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.

source=pdf_text observed=2026-05-19T10:24:52.160209Z digest=sha256:b63414b4f227482202a3e127dfb8d144fe312aa295abac39cb9473b7ffbcacd4

Observation 46faa49e-23a4-4652-bbc8-bc4c475e2e05 · inbound

Grasp-MPC: Closed-Loop Visual Grasping via Value-Guided Model Predictive Control cites this paper.

Grasp-MPC: Closed-Loop Visual Grasping via Value-Guided Model Predictive Control Is Value Learning Really the Main Bottleneck in Offline RL?

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T00:05:11.862580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:05:11.862580Z digest=sha256:1d3c027458dc05b6711844a444f1716b3a8f1df4c8b118b4834f36ffb261a168

Observation c2b61789-7282-4ed7-9132-ccefe9dfab92 · inbound

What Does Flow Matching Bring To TD Learning? cites this paper.

What Does Flow Matching Bring To TD Learning? Is Value Learning Really the Main Bottleneck in Offline RL?

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-15T16:36:17.827639Z

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.

source=pdf_text observed=2026-05-15T16:32:29.432272Z digest=sha256:665863090dde146a17a2cfe3067af42b44151ac33d6af87e746d392d80a92ed6

Observation 0eb8bba2-cbf8-4331-a775-650fa85e6e50 · inbound

Multi-scale Predictive Representations for Goal-conditioned Reinforcement Learning cites this paper.

Multi-scale Predictive Representations for Goal-conditioned Reinforcement Learning Is Value Learning Really the Main Bottleneck in Offline RL?

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:16:26.222573Z

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.

source=pdf_text observed=2026-05-12T03:35:37.739085Z digest=sha256:8f5cf1b047ec076b5adef6096a60f5ecff64d4601f738a7b6cd453bf778b3f5a

Observation 36c580df-c18e-4b42-a49a-79faaefd2165 · inbound

Abstraction for Offline Goal-Conditioned Reinforcement Learning cites this paper.

Abstraction for Offline Goal-Conditioned Reinforcement Learning Is Value Learning Really the Main Bottleneck in Offline RL?

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:51:16.619148Z

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.

source=pdf_text observed=2026-05-22T07:46:20.289421Z digest=sha256:ec9671aef820f7577a47638649384fc5d729c98ecb6497763d0ef7c30ce0e092