Paper Citation Record · LEDGER

RL with KL penalties is better viewed as Bayesian inference

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2205.11275.

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

pith.paper-citation-record.v1
2205.11275 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:10:17.082630Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:27:29.845324Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 20b0241a-bf09-4e85-a708-b778b1c3e90b · inbound

Scaling Laws for Reward Model Overoptimization cites this paper.

Scaling Laws for Reward Model Overoptimization RL with KL penalties is better viewed as Bayesian inference

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:04:53.301252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 51d2c4b0-c08c-4c05-84c8-1ee3ce9edd31 · inbound

CoDe: Blockwise Control for Denoising Diffusion Models cites this paper.

CoDe: Blockwise Control for Denoising Diffusion Models RL with KL penalties is better viewed as Bayesian inference

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:17.082630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f055b0c-aa79-4eea-ab72-558e90452701 · inbound

Discovering Algorithms with Computational Language Processing cites this paper.

Discovering Algorithms with Computational Language Processing RL with KL penalties is better viewed as Bayesian inference

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:26:01.136484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93333f7d-8616-41bb-b553-deae042a3f7d · inbound

Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis cites this paper.

Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis RL with KL penalties is better viewed as Bayesian inference

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:56.065982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aa4ea9d-4aa4-4680-b70c-b827d8e4e9b5 · inbound

A Survey of Reinforcement Learning For Economics cites this paper.

A Survey of Reinforcement Learning For Economics RL with KL penalties is better viewed as Bayesian inference

Reference 1960

Resolution: unresolved; no resolver link, observed 2026-08-02T18:34:52.804048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ea9c9d4-48f6-481e-a9dd-79f0ddbaec96 · inbound

Reinforcement Learning via Value Gradient Flow cites this paper.

Reinforcement Learning via Value Gradient Flow RL with KL penalties is better viewed as Bayesian inference

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:20:25.619008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4abcc714-8349-4261-8f2f-1f1c616a831f · inbound

Exponential families from a single KL identity cites this paper.

Exponential families from a single KL identity RL with KL penalties is better viewed as Bayesian inference

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:11:28.247915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ab0a2075-e8f6-41e5-8d5e-75bfff6214c4 · inbound

Binary Rewards and Reinforcement Learning: Fundamental Challenges cites this paper.

Binary Rewards and Reinforcement Learning: Fundamental Challenges RL with KL penalties is better viewed as Bayesian inference

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:31:08.663028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c4ed330b-c778-45c0-8bda-697343dad096 · inbound

On Distinguishing Capability Elicitation from Capability Creation in Post-Training: A Free-Energy Perspective cites this paper.

On Distinguishing Capability Elicitation from Capability Creation in Post-Training: A Free-Energy Perspective RL with KL penalties is better viewed as Bayesian inference

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:36:26.798482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8ac82a3c-dbd6-4e2f-8485-cfeba45aae1e · inbound

The tractability landscape of diffusion alignment: regularization, rewards, and computational primitives cites this paper.

The tractability landscape of diffusion alignment: regularization, rewards, and computational primitives RL with KL penalties is better viewed as Bayesian inference

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:52:08.903060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation db64787e-ea9d-4737-881f-b2258609c6e5 · inbound

A Unifying Lens on Reward Uncertainty in RLHF cites this paper.

A Unifying Lens on Reward Uncertainty in RLHF RL with KL penalties is better viewed as Bayesian inference

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:27:29.846581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dce67dbc-9dce-420e-8da5-547482ef1730 · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay RL with KL penalties is better viewed as Bayesian inference

Reference 247

Resolution: unresolved; no resolver link, observed 2026-07-11T13:53:36.775836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf3d459f-d00b-45dc-80be-648e96eb1dc8 · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay RL with KL penalties is better viewed as Bayesian inference

Reference 248

Resolution: unresolved; no resolver link, observed 2026-08-02T08:41:01.139311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.