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Paper Citation Record · LEDGER

Dual Active Learning for Reinforcement Learning from Human Feedback

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.02504.

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

pith.paper-citation-record.v1
2410.02504 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:33:52.622227Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:04:44.920128Z

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 11e2c045-38c1-4fd7-85f6-88d51aca9b29 · inbound

FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain cites this paper.

FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain Dual Active Learning for Reinforcement Learning from Human Feedback

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T15:33:52.622227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:33:52.622227Z digest=sha256:623009ab36b76689bea234bfdd9901ae6fbd5afe7a8f61aa0b0b46bf1ff2105c

Observation 96f612f8-deda-4ef3-9fb8-0ac8cffc6498 · inbound

Reinforcement Learning from Human Feedback: A Statistical Perspective cites this paper.

Reinforcement Learning from Human Feedback: A Statistical Perspective Dual Active Learning for Reinforcement Learning from Human Feedback

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:13:13.717234Z

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.

source=arxiv_source observed=2026-05-13T20:10:43.578904Z digest=sha256:2ae03da02c49aceb753b7cb1945bfc101f4a050a3173f3e1737e489307c3d0b1

Observation 30ecb29b-89a1-4498-953b-8ba6d98c0ed8 · inbound

Perturbation is All You Need for Extrapolating Language Models cites this paper.

Perturbation is All You Need for Extrapolating Language Models Dual Active Learning for Reinforcement Learning from Human Feedback

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:51:07.504914Z

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.

source=arxiv_source observed=2026-05-08T17:05:17.086619Z digest=sha256:c218db5e014df635508d4b09c91ed7c6e681767cfa49dfcef6fb8c26e5450ef0

Observation 1ec06922-beda-4dae-947e-1c60b9cbdcc9 · inbound

MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization cites this paper.

MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization Dual Active Learning for Reinforcement Learning from Human Feedback

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:31:24.467796Z

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.

source=pdf_text observed=2026-05-12T04:14:37.374346Z digest=sha256:6b1370d2f32585dae707db000e2b62eec217c7ac66c9daed53c7e4635957270c

Observation aa36ede1-00c4-4528-8995-0c6d95bda78f · inbound

Learning Perturbations to Extrapolate Your LLM cites this paper.

Learning Perturbations to Extrapolate Your LLM Dual Active Learning for Reinforcement Learning from Human Feedback

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:49:23.537328Z

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.

source=arxiv_source observed=2026-05-14T17:43:48.456679Z digest=sha256:204600ecde89cafb33f3e50cd023229a7df3def0a438b975f262c5c1104a21ca

Observation 0eb80bdc-aa76-44a8-a5ba-841d45209198 · inbound

CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning cites this paper.

CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning Dual Active Learning for Reinforcement Learning from Human Feedback

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-30T14:04:44.921775Z

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.

source=pdf_text observed=2026-06-30T13:54:52.129738Z digest=sha256:7ab651d362af96b9ca2f128b2a027691f09ae328425a78b1a50ae2cc35d05cc7

Observation 23c2d6ca-df49-472a-88d7-e5924ca7a54b · inbound

When Self-Belief Misleads: Active Label Acquisition for Reinforcement Learning with Verifiable Rewards cites this paper.

When Self-Belief Misleads: Active Label Acquisition for Reinforcement Learning with Verifiable Rewards Dual Active Learning for Reinforcement Learning from Human Feedback

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:04:01.353377Z

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.

source=pdf_text observed=2026-06-29T22:58:46.313028Z digest=sha256:00725c49e6b6462c954beefbe401c7b62a42ceeada4d7b40dce3559e05e75b45