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Paper Citation Record · LEDGER

Prioritized Generative Replay

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.18082.

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

pith.paper-citation-record.v1
2410.18082 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 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:02:20.718465Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T10:52:15.292248Z

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 bce0a378-af0f-4c70-a587-9312f03ea012 · inbound

Exploratory Diffusion Model for Unsupervised Reinforcement Learning cites this paper.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Prioritized Generative Replay

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-08T13:21:18.420119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:21:18.420119Z digest=sha256:f83eb63c833147f8a318a23f5f583d33aed1244faecfdcda4326d69e08b1f662

Observation c9c1b940-b89b-4e4a-9d2e-dff85178b9a4 · inbound

Noise-Tolerant Coreset-Based Class Incremental Continual Learning cites this paper.

Noise-Tolerant Coreset-Based Class Incremental Continual Learning Prioritized Generative Replay

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-16T11:02:20.718465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:02:20.718465Z digest=sha256:351ec28c3b9ddb07908b63876bd1174404d52e26d88fff7527bf001417f15f54

Observation 17f925d4-7135-4220-b4df-94dcc911b718 · inbound

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning cites this paper.

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning Prioritized Generative Replay

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T04:14:13.182696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:14:13.182696Z digest=sha256:5f8269f387afab0d8a3b8d96a3370a7e369106a702302f2bf1d03dda6baab856

Observation e161bd7c-6c5e-48ef-a647-89c905ddf6f5 · inbound

Decision Flow Policy Optimization cites this paper.

Decision Flow Policy Optimization Prioritized Generative Replay

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:41.144029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:41.144029Z digest=sha256:b1dafc1c81431ea4d5468f40c17afd30203911d51d06c6e5db7c151820d93b78

Observation b7f1c97b-30ed-4ad2-a29c-26781fdfb1e4 · 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 Prioritized Generative Replay

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:52:15.293768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:c479ac091e33c659fbf2e0b4b30d248e05a16e5fed55fb055b676e8ad80f2ff5

Observation 337e92b0-c427-4c5a-89f0-58d39828bdf0 · inbound

Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies cites this paper.

Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies Prioritized Generative Replay

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T04:39:08.778688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:39:08.778688Z digest=sha256:f8d604ebb4ef49a0a91df465a8820b872b83a4fe0942a262db7d7b978332c8b6