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Paper Citation Record · LEDGER

Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.20109.

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

pith.paper-citation-record.v1
2407.20109 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:20:39.813467Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T21:55:46.481351Z

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 8ad00c81-8a7f-4c6f-aa43-aa704d9760cd · inbound

Decision Flow Policy Optimization cites this paper.

Decision Flow Policy Optimization Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:39.813467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:39.813467Z digest=sha256:3184c957015336804bc98150868839ed15b63209cc310d2d54118fc675bb4a60

Observation 59742d45-65ce-4f1a-ba4c-7c7af17e08c4 · inbound

Semi-gradient DICE for Offline Constrained Reinforcement Learning cites this paper.

Semi-gradient DICE for Offline Constrained Reinforcement Learning Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T05:15:33.437349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:15:33.437349Z digest=sha256:2abaca12b2dddda150229c83045fbd01db8ce823c41d570b77a0b14b4f1914c5

Observation fcef969d-a50b-4d6b-8239-d5338fe7d50e · inbound

Steering Your Diffusion Policy with Latent Space Reinforcement Learning cites this paper.

Steering Your Diffusion Policy with Latent Space Reinforcement Learning Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-17T21:55:46.483290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T21:55:46.183007Z digest=sha256:21465f6dc69fdd61dc2e083d7baa2dad67c26fdb3863f8bc05dd1283e6c621c5

Observation 0fd6699f-2736-421d-a743-d7ea00731f54 · inbound

Spatial-Temporal Aware Visuomotor Diffusion Policy Learning cites this paper.

Spatial-Temporal Aware Visuomotor Diffusion Policy Learning Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:22.950394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:22.950394Z digest=sha256:3ea9e13194c36fbbe95e70fe051ba722cef69df0b30412dda0007dabffdb5686

Observation 8fb458f1-099f-4c0a-a935-d69f0ebf15db · inbound

Reinforcement Learning via Value Gradient Flow cites this paper.

Reinforcement Learning via Value Gradient Flow Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:20:25.593906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T13:18:16.532434Z digest=sha256:6eb8d46f3c0811a20591ac3435ccdfb607bfa8627d745bb4df8f0666f337113c

Observation a6aa6e31-79bd-4aba-ac29-1f2807b9e8c3 · inbound

Good Rankers, Bad Objectives: Bilinear Contrastive Critics under Expressive Policy Search cites this paper.

Good Rankers, Bad Objectives: Bilinear Contrastive Critics under Expressive Policy Search Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-31T01:24:20.855009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T01:24:20.855009Z digest=sha256:06979903e59c8a4d099e35831cb07813c5c4b3f73ca91aeffa6863d3c2eb0cb0