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Paper Citation Record · LEDGER

Learning Parametric Distributions from Samples and Preferences

As of 17 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2505.23557.

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

pith.paper-citation-record.v1
2505.23557 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:50:14.253577Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

  • verified exact2
  • verified fuzzy6
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 07e8a8fd-4c78-48ab-8946-564c4430a597 · outbound

This paper cites local” Assumptions 4.2 and 4.4 are satisfied. Given that Assumption 4.4 is based on “ignoring.

Learning Parametric Distributions from Samples and Preferences local” Assumptions 4.2 and 4.4 are satisfied. Given that Assumption 4.4 is based on “ignoring

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:50:15.768250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f71d4177-68a3-4219-88b1-932075eb51c2 · outbound

This paper cites J., Rohatgi, D., Zhang, C., Simchowitz, M., Ash, J.

Learning Parametric Distributions from Samples and Preferences J., Rohatgi, D., Zhang, C., Simchowitz, M., Ash, J

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T12:50:15.950799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:50:13.085135Z digest=sha256:a3c0bec1885dde60bb61bef9ee00084fd434ad10ba1ca5ee238e393b46099196

Observation 394fcf52-97d4-42ea-8a37-96cd55ca27e9 · outbound

This paper cites S., and Bag- nell, J.

Learning Parametric Distributions from Samples and Preferences S., and Bag- nell, J

Reference 10

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unresolved
no resolver link, observed 2026-08-07T12:50:13.409774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a485c698-e5b9-4dab-a966-6ad3f2d8e46d · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Learning Parametric Distributions from Samples and Preferences Fine-Tuning Language Models from Human Preferences

Reference 15

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unresolved
no resolver link, observed 2026-08-07T12:50:13.880712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:50:13.880712Z digest=sha256:ed049093d72ed21886b9ccd39106fede26d81a794cea758344684cf0283b46ad

Observation f1591904-80c7-4fd9-8aa8-92561bf2707c · outbound

This paper cites reversed.

Learning Parametric Distributions from Samples and Preferences reversed

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:50:15.566421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4ef90a22-24ef-4481-86a2-ddcc144b3c92 · outbound

This paper cites Let ε=θ−θ ⋆.

Learning Parametric Distributions from Samples and Preferences Let ε=θ−θ ⋆

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:50:15.345434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f77b728b-d1a5-4650-9678-e7ca3ab4fada · outbound

This paper cites spiky” along some directions. Due to those distant vertices, the center would become a worse estimator than DP, since the “average.

Learning Parametric Distributions from Samples and Preferences spiky” along some directions. Due to those distant vertices, the center would become a worse estimator than DP, since the “average

Reference 102

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verified fuzzy
raw_fallback, observed 2026-08-07T12:50:15.176348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:50:14.253577Z digest=sha256:8c50300e5e00f16836ddc10bee4887ef351d99767e333b316abbea4455044f07

Observation 27ac98e9-f633-453c-9266-84c860a289f5 · outbound

This paper cites The Llama 3 Herd of Models.

Learning Parametric Distributions from Samples and Preferences The Llama 3 Herd of Models

Reference 1946

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unresolved
no resolver link, observed 2026-08-07T12:50:12.536863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d7c51675-d737-444d-981c-bbb66bcb436a · outbound

This paper cites Gorbatovski, A., Shaposhnikov, B., Sinii, V ., Malakhov, A., and Gavrilov, D.

Learning Parametric Distributions from Samples and Preferences Gorbatovski, A., Shaposhnikov, B., Sinii, V ., Malakhov, A., and Gavrilov, D

Reference 1952

Resolution
unresolved
no resolver link, observed 2026-08-07T12:50:12.815217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:50:12.815217Z digest=sha256:dd1e16f9d0b507352b21ac8280591738ff63f3c9bd95df135884dda89d08280c

Observation 8c545c67-5315-4b54-baca-17bdbba71ada · outbound

This paper cites Learning Linear Utility Functions From Pairwise Comparison Queries.

Learning Parametric Distributions from Samples and Preferences Learning Linear Utility Functions From Pairwise Comparison Queries

Reference 2012

Resolution
unresolved
no resolver link, observed 2026-08-07T12:50:12.685227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:50:12.685227Z digest=sha256:af91f03ac6f6384605d2d4890d76e2a9049b7ceaa30c0d574b3e620d03626a81

Observation fce61919-11eb-4a8d-a430-2dc5df42afa5 · outbound

This paper cites Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective.

Learning Parametric Distributions from Samples and Preferences Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective

Reference 2013

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:50:14.442149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 74163a85-31a4-4e68-bac6-0f4dbfa3ff99 · outbound

This paper cites Orpo: Monolithic prefer- ence optimization without reference model.

Learning Parametric Distributions from Samples and Preferences Orpo: Monolithic prefer- ence optimization without reference model

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:50:16.164514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:50:12.968757Z digest=sha256:58537da02d9365614cca79424f864f2522e78ff59c619cf80a7c36e89a53a794

Observation d7e98598-0844-42c3-ac38-0568f46db10c · outbound

This paper cites URL https://epubs.siam.org/ doi/10.1137/141000671.

Learning Parametric Distributions from Samples and Preferences URL https://epubs.siam.org/ doi/10.1137/141000671

Reference 2017

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no resolver link, observed 2026-08-07T12:50:12.391013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:50:12.391013Z digest=sha256:51c4eeb18c40c5d1a88a2fedebac93c4c87da9f2851a2ad4755fce13ed762be5

Observation eb7675bc-1ff7-49e9-a7d8-6e4ebaff4ace · outbound

This paper cites ASFT: Aligned Supervised Fine-Tuning through Absolute Likelihood.

Learning Parametric Distributions from Samples and Preferences ASFT: Aligned Supervised Fine-Tuning through Absolute Likelihood

Reference 2019

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:50:14.583926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:50:13.733014Z digest=sha256:24959d7d91c195e332bf1d3811a4021ca548d26df7ba08252a42d820f49abfd3

Observation b0645b99-4a94-49f4-b1c1-9edbe5dad173 · outbound

This paper cites URL http://dx.doi.org/10.1145/3372885.

Learning Parametric Distributions from Samples and Preferences URL http://dx.doi.org/10.1145/3372885

Reference 2020

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no resolver link, observed 2026-08-07T12:50:13.180091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:50:13.180091Z digest=sha256:4f83c8088a0a2469f6acc3decdbcf39cc977feee0f090104fd665b2b35c0716c

Observation 0bdb7b64-d646-437e-922b-a90d85e046aa · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Learning Parametric Distributions from Samples and Preferences Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 2022

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unresolved
no resolver link, observed 2026-08-07T12:50:13.633918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6beabf82-1c55-4fe9-8b17-8e6e0773cab5 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Learning Parametric Distributions from Samples and Preferences Proximal Policy Optimization Algorithms

Reference 2023

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c10156df-c108-4b20-813e-4d25d0cbdaf0 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Learning Parametric Distributions from Samples and Preferences Constitutional AI: Harmlessness from AI Feedback

Reference 2024

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no resolver link, observed 2026-08-07T12:50:12.309997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ba1dbab5-2129-42cb-9ed6-8fe0fa6d62b7 · outbound

This paper cites Generalized Preference Optimization: A Unified Approach to Offline Alignment.

Learning Parametric Distributions from Samples and Preferences Generalized Preference Optimization: A Unified Approach to Offline Alignment

Reference 2025

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no resolver link, observed 2026-08-07T12:50:13.529395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.