Paper Citation Record · LEDGER

Improving the Distributional Alignment of LLMs using Supervision

As of 5 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2507.00439.

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

pith.paper-citation-record.v1
2507.00439 v4

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T07:15:05.417019Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:58:36.695572Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

verified exact14
verified fuzzy4
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b57d0987-6c3d-473c-ac40-4d39d3972b82 · outbound

This paper cites URL: " 'urlintro :=.

Improving the Distributional Alignment of LLMs using Supervision URL: " 'urlintro :=

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T07:17:09.078226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cf60242e-307a-4607-9ea5-bad616180fd3 · outbound

This paper cites write newline.

Improving the Distributional Alignment of LLMs using Supervision write newline

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T07:17:09.081732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a6403340-d52e-4abf-be81-55779e56d7d8 · outbound

This paper cites Arriaga, and Adam Tauman Kalai.

Improving the Distributional Alignment of LLMs using Supervision Arriaga, and Adam Tauman Kalai

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T07:17:09.084547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b18a49b9-e590-4760-b3bb-4a22b4c78228 · outbound

This paper cites Robustness and Confounders in the Demographic Alignment of LLMs with Human Perceptions of Offensiveness.

Improving the Distributional Alignment of LLMs using Supervision Robustness and Confounders in the Demographic Alignment of LLMs with Human Perceptions of Offensiveness

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:17:08.353819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4f38bea7-d918-4614-9fb8-763b3a57b9cc · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-05-19T07:17:09.072128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bc19a0b9-2778-403b-8140-8a491b25c296 · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-05-19T07:17:09.074755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 30b467f1-785c-42c0-ab4c-08accf8984ff · outbound

This paper cites doi: 10.18653/v1/2023.acl-long.84.

Improving the Distributional Alignment of LLMs using Supervision doi: 10.18653/v1/2023.acl-long.84

Reference 7

Resolution: verified exact; doi, observed 2026-05-19T07:17:08.275240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation db709d4a-46b8-4896-8658-30c912a5cbf9 · outbound

This paper cites C o MP os T : Characterizing and Evaluating Caricature in LLM Simulations.

Improving the Distributional Alignment of LLMs using Supervision C o MP os T : Characterizing and Evaluating Caricature in LLM Simulations

Reference 8

Resolution: verified exact; doi, observed 2026-05-19T07:17:08.262739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d3939ba8-1979-42d5-974d-0e5a28fb7ff0 · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-19T07:17:09.069479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 16de8622-1eaf-4660-8262-837db4d49f4e · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-19T07:17:09.087479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dca7d064-07ad-4686-9985-8d3fb24524e8 · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-05-19T07:17:09.089926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 16c2a154-025f-46a8-a12d-acc24e24c7b2 · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-05-19T07:17:09.052371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 604ae932-5cd6-44e7-b595-8c18ff84b7f4 · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-19T07:17:09.063931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 000bcbe1-375c-4cc1-bc23-34e3a94fbb47 · outbound

This paper cites A Survey of Con- fidence Estimation and Calibration in Large Language Models.

Improving the Distributional Alignment of LLMs using Supervision A Survey of Con- fidence Estimation and Calibration in Large Language Models

Reference 14

Resolution: verified exact; doi, observed 2026-05-19T07:17:08.271660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8798ddcc-b4a9-4a21-881a-1f1cce58edd2 · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-05-19T07:17:09.055256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d09487f9-4c8a-4c41-85a3-8425975f0109 · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-05-19T07:17:09.057975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9e329124-1596-4d3d-a0eb-558ba661542d · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-05-19T07:17:09.060841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a4e31cf0-9fac-4725-8a94-c5a2a89d7f7e · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-05-19T07:17:09.113373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8c65a527-43fe-4ccd-93f7-559044cb46be · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-19T07:17:09.110129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3b9375db-c428-40a2-b100-83ea3dd7ca71 · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 20

Resolution: verified exact; doi, observed 2026-05-19T07:17:08.283527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 724250eb-606a-4dcb-bf58-807d4faceb7c · outbound

This paper cites Improving Language Model Personas via Rationalization with Psychological Scaffolds.

Improving the Distributional Alignment of LLMs using Supervision Improving Language Model Personas via Rationalization with Psychological Scaffolds

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:17:08.369440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 00ef2a10-0803-4fc3-9982-104b3d6fc047 · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-05-19T07:17:09.116793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1d2d8f22-d1dd-4452-ae2d-9131c39f2bdc · outbound

This paper cites Annotation alignment: Comparing LLM and human annotations of conversational safety.

Improving the Distributional Alignment of LLMs using Supervision Annotation alignment: Comparing LLM and human annotations of conversational safety

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:17:08.373325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 839deba6-2770-4bb3-972b-b8d2643a194b · outbound

This paper cites Cultural Conditioning or Placebo? On the Effectiveness of Socio-Demographic Prompting.

Improving the Distributional Alignment of LLMs using Supervision Cultural Conditioning or Placebo? On the Effectiveness of Socio-Demographic Prompting

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:17:08.357910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2273e98c-dc06-4f42-8b69-66952b2e4831 · outbound

This paper cites StereoSet: Measuring stereotypical bias in pretrained language models.

Improving the Distributional Alignment of LLMs using Supervision StereoSet: Measuring stereotypical bias in pretrained language models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:17:08.365329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 977c848b-3fa1-4378-ab66-a526d9db9e8e · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-05-19T07:17:09.101436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 49ca69ad-0e76-458a-8101-8d3010d26e93 · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-05-19T07:17:09.104160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d783c345-99a5-494c-b2db-a729cd553e3b · outbound

This paper cites When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset.

Improving the Distributional Alignment of LLMs using Supervision When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset

Reference 28

Resolution: verified exact; doi, observed 2026-05-19T07:17:08.259226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c1b686c6-d1bf-4052-80c4-d0b0f5631555 · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-05-19T07:17:09.106942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ae96de97-a66d-4e70-addc-6b2b2dfb24f9 · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-05-19T07:17:09.066838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b875517b-bac1-4c92-a0ec-69caf31b78da · outbound

This paper cites doi: 10.18653/v1/2022.naacl-main.431.

Improving the Distributional Alignment of LLMs using Supervision doi: 10.18653/v1/2022.naacl-main.431

Reference 31

Resolution: verified exact; doi, observed 2026-05-19T07:17:08.279338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b4afe7c1-e747-4ffb-8acd-5dd813f37189 · outbound

This paper cites Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, and Yejin Choi.

Improving the Distributional Alignment of LLMs using Supervision Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, and Yejin Choi

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T07:17:09.098855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aa11c987-5b8a-4d1d-8e50-e1ad7597b391 · outbound

This paper cites Sociodemographic Prompting is Not Yet an Effective Approach for Simulating Subjective Judgments with LLMs.

Improving the Distributional Alignment of LLMs using Supervision Sociodemographic Prompting is Not Yet an Effective Approach for Simulating Subjective Judgments with LLMs

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:17:08.376909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f2ea9fc4-1ac1-4e30-a43a-a1f3cb006694 · outbound

This paper cites Random Silicon Sampling: Simulating Human Sub-Population Opinion Using a Large Language Model Based on Group-Level Demographic Information.

Improving the Distributional Alignment of LLMs using Supervision Random Silicon Sampling: Simulating Human Sub-Population Opinion Using a Large Language Model Based on Group-Level Demographic Information

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T07:17:08.348897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 13f97d97-9289-4dc6-b11e-b613c9782f7c · outbound

This paper cites doi: 10.18653/v1/2023.emnlp-main.330.

Improving the Distributional Alignment of LLMs using Supervision doi: 10.18653/v1/2023.emnlp-main.330

Reference 35

Resolution: verified exact; doi, observed 2026-05-19T07:17:08.267206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3b5b2d52-7113-46ea-900f-6483ab068efd · outbound

This paper cites Large language models that replace human participants can harmfully misportray and flatten identity groups.

Improving the Distributional Alignment of LLMs using Supervision Large language models that replace human participants can harmfully misportray and flatten identity groups

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:17:08.361737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f8f17569-b12d-4c3f-b466-72b1409c8b15 · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-05-19T07:17:09.095771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e73197a2-16f8-4dbd-93b3-921c8a565ecf · outbound

This paper cites an unresolved cited work.

Improving the Distributional Alignment of LLMs using Supervision Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-05-19T07:17:09.093047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 17c3baa6-2d11-4040-92fd-d26f4caadeab · inbound

DeMeVa at LeWiDi-2025: Modeling Perspectives with In-Context Learning and Label Distribution Learning cites this paper.

DeMeVa at LeWiDi-2025: Modeling Perspectives with In-Context Learning and Label Distribution Learning Improving the Distributional Alignment of LLMs using Supervision

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T18:58:36.695572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.