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Paper Citation Record · LEDGER

Improving Fairness of Large Language Models in Multi-document Summarization

As of 17 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.07479.

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

pith.paper-citation-record.v1
2506.07479 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:41:12.909715Z

measured 26 of 26 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

26 of 26 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 007501c9-42d1-4c79-822f-77e275d8bbcb · outbound

This paper cites an unresolved cited work.

Improving Fairness of Large Language Models in Multi-document Summarization Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:12.746292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:12.746292Z digest=sha256:c9b5e6468e349b02be08ea5a2446a05903f2b76c6a4b5cef7b64804e77e96530

Observation 36c9bc2d-d9cd-4862-a050-418e3038632c · outbound

This paper cites OPTune: Efficient Online Preference Tuning.

Improving Fairness of Large Language Models in Multi-document Summarization OPTune: Efficient Online Preference Tuning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:12.752661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:12.752661Z digest=sha256:cbcd7d5bc69060eb685549b0cd5f875ea61f0436f679058762eea27db22644e3

Observation 2bda1274-4975-4725-9bb7-b7178819780f · outbound

This paper cites an unresolved cited work.

Improving Fairness of Large Language Models in Multi-document Summarization Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:12.759297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:12.759297Z digest=sha256:4f3d43a138322bae48c6be35d169d107c005b0ee5465ac67d34c9afe026b975a

Observation abb77f0e-cc6a-456d-9045-ad19dcc15887 · outbound

This paper cites Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles.

Improving Fairness of Large Language Models in Multi-document Summarization Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:12.765877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:12.765877Z digest=sha256:989e4b210604f08d401667eb477f17d55b09a409e2f55f5a8804b2a28d0bda4e

Observation f91f0cc0-9751-41b2-8ac2-a51b3b30f2e3 · outbound

This paper cites Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias.

Improving Fairness of Large Language Models in Multi-document Summarization Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:41:13.253940Z

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=arxiv_source observed=2026-08-07T05:41:12.773215Z digest=sha256:64a9485e8da73a65c33a42099b7d7f07ba5575eb45f194b34afe1686019d3f54

Observation 592232b6-f4bb-477f-89c2-5ab7b63d1e01 · outbound

This paper cites Mistral 7B.

Improving Fairness of Large Language Models in Multi-document Summarization Mistral 7B

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:12.779648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:12.779648Z digest=sha256:d6316ee799f1d99b1831aa17a61ef79044e34e3b5951db1a931b31809f962d75

Observation 58ccd800-b8e4-404c-93cb-c281b0a29015 · outbound

This paper cites Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models.

Improving Fairness of Large Language Models in Multi-document Summarization Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:12.789750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:12.789750Z digest=sha256:506c7b5e3987b8ca53341094d724e2723abb16f0456f5ee776585a83c9f9da5c

Observation 5aff43bd-2b2c-41b6-871d-2fab15c377cd · outbound

This paper cites an unresolved cited work.

Improving Fairness of Large Language Models in Multi-document Summarization Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:41:13.531871Z

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=arxiv_source observed=2026-08-07T05:41:12.797590Z digest=sha256:2ad1c66775248b297cb9ec580f0bdb05d67a1532f072e749c00f067b93f09afb

Observation b3253867-fe19-4120-a7ec-cbd23816c293 · outbound

This paper cites Polarity Calibration for Opinion Summarization.

Improving Fairness of Large Language Models in Multi-document Summarization Polarity Calibration for Opinion Summarization

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:41:13.153444Z

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=arxiv_source observed=2026-08-07T05:41:12.802725Z digest=sha256:f288755cfde7e39e7a30f40427b83fd119955d487cc51b45585dc6020c12df3a

Observation c93b6c80-52a2-4942-b865-8e5052d44c33 · outbound

This paper cites Coverage-based Fairness in Multi-document Summarization.

Improving Fairness of Large Language Models in Multi-document Summarization Coverage-based Fairness in Multi-document Summarization

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:41:13.115968Z

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=arxiv_source observed=2026-08-07T05:41:12.809512Z digest=sha256:34cdc6d87a462830888b3c95368d00e9ef551d7830a966f52fcd9c375a6dec2a

Observation 92f90826-23d1-4c4d-bbd0-bf84f992ff76 · outbound

This paper cites an unresolved cited work.

Improving Fairness of Large Language Models in Multi-document Summarization Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:41:13.511470Z

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=arxiv_source observed=2026-08-07T05:41:12.816315Z digest=sha256:216e6c293401ff4809f9f127b1831e400112cbccdbbaf90a3fca06f1943c7ec7

Observation 9c3c3789-5362-493b-a3d9-14a17edca786 · outbound

This paper cites an unresolved cited work.

Improving Fairness of Large Language Models in Multi-document Summarization Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:12.823094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:12.823094Z digest=sha256:1b66bc6508b94aa33fda7c9cdcaea425a0f898344b7a6fcd7f04bac8b9508b2f

Observation cecb2f6d-3624-4feb-a22d-cee0e838e420 · outbound

This paper cites an unresolved cited work.

Improving Fairness of Large Language Models in Multi-document Summarization Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:12.829563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:12.829563Z digest=sha256:91a4fa04fd27ddedbf4fb88e765fcb42d818c69adc60e3dbb227e80bb079c16a

Observation f73ae348-5e05-4717-b5db-862ca9fc4b16 · outbound

This paper cites an unresolved cited work.

Improving Fairness of Large Language Models in Multi-document Summarization Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:41:13.484874Z

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=arxiv_source observed=2026-08-07T05:41:12.835610Z digest=sha256:4d263a4397d142b90a722f3d7ad5c560eb1caaa0b80cc2201524a8fcf1224a2d

Observation 56238d96-3089-487f-9209-76c812f51e44 · outbound

This paper cites an unresolved cited work.

Improving Fairness of Large Language Models in Multi-document Summarization Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:12.840941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:12.840941Z digest=sha256:dd54b8ae5ac404842e685cad44cde990a02000997cd67bf44a1456a70afc41d7

Observation 049e12be-0655-4db4-8861-c34b63878f66 · outbound

This paper cites an unresolved cited work.

Improving Fairness of Large Language Models in Multi-document Summarization Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:12.846310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:12.846310Z digest=sha256:a159697ff8507a6c433f0c14d57c1d2b71c8477e8e1aeeeb564e19d983515435

Observation f3e6a80c-eeb8-485f-84dc-25ee40e4d867 · outbound

This paper cites an unresolved cited work.

Improving Fairness of Large Language Models in Multi-document Summarization Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:12.853268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:12.853268Z digest=sha256:28824db2543156bb09fc33daaa52119f4de99f515ce81b969a40ea4793f3be2d

Observation 30858077-fac0-443b-8fb0-4fd25c343919 · outbound

This paper cites an unresolved cited work.

Improving Fairness of Large Language Models in Multi-document Summarization Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:12.859339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:12.859339Z digest=sha256:16fb4e890e54d4db3fb31d44bed3746a7fda81200cfd498b8b208a0dd3ca81c8

Observation ef6daabc-7365-4144-80ca-50ea5a488043 · outbound

This paper cites an unresolved cited work.

Improving Fairness of Large Language Models in Multi-document Summarization Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:12.865341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:12.865341Z digest=sha256:187566fc31f6ad0c2d41732d099688012a42ba14b4828dc411b0d291d27ef8d4

Observation 8e5f6e53-8c17-4496-940e-0bea4e86fc26 · outbound

This paper cites an unresolved cited work.

Improving Fairness of Large Language Models in Multi-document Summarization Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:41:13.383583Z

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=arxiv_source observed=2026-08-07T05:41:12.872013Z digest=sha256:565adf3b495594b1d27b5de52a4b2b872d1b7daa68e381ba6da0bf7de4ed072b

Observation 16adcf24-99d8-4513-98f5-24c47fbc7778 · outbound

This paper cites an unresolved cited work.

Improving Fairness of Large Language Models in Multi-document Summarization Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:12.879579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:12.879579Z digest=sha256:653a4324a2160403ce90c1f63cafd27f3344c6ce6c0c95e4b33d56c2ce2ed191

Observation dc72a8d6-239c-48c0-b31d-b9f19c811548 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Improving Fairness of Large Language Models in Multi-document Summarization Gemma: Open Models Based on Gemini Research and Technology

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:12.885005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:12.885005Z digest=sha256:8e2d529143c9402971c0f38279514fe4b9f8b81e35038d2e41af7d5484ad912e

Observation b8c63f27-a75f-402c-b15e-0037294c839c · outbound

This paper cites Fair Abstractive Summarization of Diverse Perspectives.

Improving Fairness of Large Language Models in Multi-document Summarization Fair Abstractive Summarization of Diverse Perspectives

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:41:13.053453Z

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=arxiv_source observed=2026-08-07T05:41:12.891405Z digest=sha256:fc03002eef6d897cfb9b6584ceb21dc31a1485a9ed8d7220c66edf871b23d62e

Observation a4ec7f3a-686c-4716-b378-fc0cf1d16a45 · outbound

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

Improving Fairness of Large Language Models in Multi-document Summarization Fine-Tuning Language Models from Human Preferences

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:12.897362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:12.897362Z digest=sha256:a85efd2ac6663dce81f0e5f46af1250a586c988d47ceb9bc6c84d71e07210c61

Observation 208fe4d0-caa6-4b33-912f-4960b94f4c6d · outbound

This paper cites online" 'onlinestring :=.

Improving Fairness of Large Language Models in Multi-document Summarization online" 'onlinestring :=

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:12.903960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:12.903960Z digest=sha256:263c1cf6b017187130e4eb59215fa634ed4f6232ef6a657d3bbb2c951a030750

Observation 07e5986d-dce5-4f76-be45-8e68d670b2e4 · outbound

This paper cites write newline.

Improving Fairness of Large Language Models in Multi-document Summarization write newline

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:12.909715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:12.909715Z digest=sha256:ea0bf958b95fbcf72ffc0b9073c5eedb962d72644447499bb295b5def9c0067f

Pith citing papers

No inbound Pith citation observations are available.