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Paper Citation Record · LEDGER

Efficient Reinforcement Learning with Large Language Model Priors

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.07927.

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

pith.paper-citation-record.v1
2410.07927 v1

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 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:18:54.577941Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:50:00.073152Z

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 992949d2-b9ae-474e-a18b-77742679f4f9 · inbound

Average-Reward Soft Actor-Critic cites this paper.

Average-Reward Soft Actor-Critic Efficient Reinforcement Learning with Large Language Model Priors

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T20:13:57.693280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:13:57.693280Z digest=sha256:4909666f2afcc96cd1c6fe3b4df4058fda6d0245d074776d44a185cb0d49c1b0

Observation 09abbb62-d7e7-4cbf-a5e4-31b3312d8702 · inbound

EVAL: EigenVector-based Average-reward Learning cites this paper.

EVAL: EigenVector-based Average-reward Learning Efficient Reinforcement Learning with Large Language Model Priors

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-10T20:18:54.577941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:18:54.577941Z digest=sha256:1372bf4c0ed2a106508d4f942452d54309d455abd04a231cee89b682a84624c1

Observation 305b7bed-a869-4f01-8ebc-60d8f37803b9 · inbound

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving cites this paper.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Efficient Reinforcement Learning with Large Language Model Priors

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T15:13:43.329899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:13:43.329899Z digest=sha256:0e3a663de437e07f08a5fc955afd6a791333494ef4ee5b5f865871574172df02

Observation e3983245-fbc8-40f6-96d3-144f483723f9 · inbound

Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration cites this paper.

Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration Efficient Reinforcement Learning with Large Language Model Priors

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:16:04.481445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T16:07:20.180349Z digest=sha256:6eccc65fc35c3fd5af3efe29a19e21c32c3495a36c89d0cf4e7f53c1dc432734

Observation 15f50169-fca5-4fc5-8757-d2b5660d27e8 · inbound

Reinforcement Learning Foundation Models Should Already Be A Thing cites this paper.

Reinforcement Learning Foundation Models Should Already Be A Thing Efficient Reinforcement Learning with Large Language Model Priors

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T23:39:05.095619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T21:50:00.974590Z digest=sha256:6edbfce0840a098afc16b1b1c0432495c5d39fcfc18523f8e049b5c6289f74bd

Observation b8d68713-0cc0-4e3e-aea3-c6ddf33b5067 · inbound

LaGO: Latent Action Guidance for Online Reinforcement Learning cites this paper.

LaGO: Latent Action Guidance for Online Reinforcement Learning Efficient Reinforcement Learning with Large Language Model Priors

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:50:00.074812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-25T23:26:55.307583Z digest=sha256:34a43d2a6f9f9156af697089c6a1b40536d14007d98a2f8fe61ae96ee07b3aba