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Paper Citation Record · LEDGER

Quantile Regression for Distributional Reward Models in RLHF

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2409.10164.

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

pith.paper-citation-record.v1
2409.10164 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:18:40.819124Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:27:29.852309Z

Reference resolution

0 of 0 outbound references displayed

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  • 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 5d4c7c56-409a-4a5e-9726-ca7b20976493 · inbound

On Almost Surely Safe Alignment of Large Language Models at Inference-Time cites this paper.

On Almost Surely Safe Alignment of Large Language Models at Inference-Time Quantile Regression for Distributional Reward Models in RLHF

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-09T16:18:40.819124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:18:40.819124Z digest=sha256:c6a5c998b47c2ae1e9b3c024e40ba6da5f9adaa5b22f36b61a65652bd0518083

Observation 53ffa0d5-a87a-4185-98c0-eff96bbce587 · inbound

Multi-Domain Explainability of Preferences cites this paper.

Multi-Domain Explainability of Preferences Quantile Regression for Distributional Reward Models in RLHF

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T14:05:07.583666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:05:07.583666Z digest=sha256:0b000d2cb786c6cf43f419beb0d5b340a6b5534156c1310c6b6f862aed65bd9d

Observation e14e7958-b5e2-40df-8bca-e24c582c732f · inbound

Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries cites this paper.

Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries Quantile Regression for Distributional Reward Models in RLHF

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:52.976745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:59:52.976745Z digest=sha256:e37af68cad17b82a28d30ce3e9a2f6d9eb476070ba1f9cd8d18f4a509ddc06a1

Observation 605a7477-2042-4cab-a746-468a1fb2b8d0 · inbound

PersonaFeedback: A Large-scale Human-annotated Benchmark For Personalization cites this paper.

PersonaFeedback: A Large-scale Human-annotated Benchmark For Personalization Quantile Regression for Distributional Reward Models in RLHF

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:44.017650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:42:44.017650Z digest=sha256:d03e33c84089759d378f7e558f0c7a7deeadb56f123078568cacfd82d5308252

Observation 33048014-125a-43ab-99e2-e3c720b8ab88 · inbound

Post-Training Large Language Models via Reinforcement Learning from Self-Feedback cites this paper.

Post-Training Large Language Models via Reinforcement Learning from Self-Feedback Quantile Regression for Distributional Reward Models in RLHF

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:53.895202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:17:53.895202Z digest=sha256:61d3fec815f1df88c17f10dc8a6cd47b4e411b5a962478507cb23be8fd69f89c

Observation 1abfe77c-dd23-4c1d-94a2-7941aff43713 · inbound

Safety Game: Inference-Time Alignment of Black-Box LLMs via Constrained Optimization cites this paper.

Safety Game: Inference-Time Alignment of Black-Box LLMs via Constrained Optimization Quantile Regression for Distributional Reward Models in RLHF

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-04T10:40:56.905829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:40:56.905829Z digest=sha256:7c1550a4f09364c3a97cd29399bc13c0c035be8e3ad9048bc82f77bb2e74ba15

Observation ff967312-685a-45e0-8d41-ac7f87920a54 · inbound

DVPO: Distributional Value Modeling-based Policy Optimization for LLM Post-Training cites this paper.

DVPO: Distributional Value Modeling-based Policy Optimization for LLM Post-Training Quantile Regression for Distributional Reward Models in RLHF

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:48:50.933078Z

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=2026-05-17T01:46:21.744857Z digest=sha256:5466b2e37b90011c96b33ce892711de9c2ba934fed91253a6c067ccdcf7949be

Observation 607041f9-2297-447a-8ecb-117f80fea90b · inbound

Hyperfastrl: Hypernetwork-based reinforcement learning for unified control of parametric chaotic PDEs cites this paper.

Hyperfastrl: Hypernetwork-based reinforcement learning for unified control of parametric chaotic PDEs Quantile Regression for Distributional Reward Models in RLHF

Reference 79

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:25:58.926309Z

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=2026-05-10T18:09:00.155657Z digest=sha256:36f2bfb752d27ad0a195858a0b9ccc9718cb48d5e3a4f67db0e5ef07e4bd35ce

Observation 219033b7-07ce-4dd3-aef9-48b3bbbb5b42 · inbound

Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context cites this paper.

Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context Quantile Regression for Distributional Reward Models in RLHF

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T00:59:49.484521Z

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=2026-05-10T00:58:34.750132Z digest=sha256:9a4d3337d852819b1d37e1513366021f6a3b63c9f13863397a734dddd1cad6e4

Observation af1524c6-ab14-47d6-980b-fc1416bfd25c · inbound

StoryAlign: Evaluating and Training Reward Models for Story Generation cites this paper.

StoryAlign: Evaluating and Training Reward Models for Story Generation Quantile Regression for Distributional Reward Models in RLHF

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:31:07.636900Z

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=2026-05-08T17:29:13.549559Z digest=sha256:6face5fa16f732bf86e2f7b785dd044e261ea3dab811da5cc186c6632cf93f0d

Observation 51585fec-0444-44c3-baa0-d5dc12cf2a50 · inbound

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

A Unifying Lens on Reward Uncertainty in RLHF Quantile Regression for Distributional Reward Models in RLHF

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T00:27:29.853689Z

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=2026-06-27T17:11:46.549150Z digest=sha256:0a140525c443352d8eabba44d0a632a52ec9eef30108afac083fde9038545d25

Observation 2646d0b2-5b6e-49fb-a256-db1c4c2be5ad · inbound

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges Quantile Regression for Distributional Reward Models in RLHF

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-03T00:55:25.589952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:55:25.589952Z digest=sha256:d35108b19e617d7e3e13210ea66ea9d9acdd7853e1164eed0426a76c91722f1d