Pith. sign in

Paper Citation Record · LEDGER

Improving Fairness of Large Language Models in Multi-document Summarization

As of 8 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 2026-08-07T06:34:17.273281+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=sha256:6fb8fd7e742fcc1eea445de2bf797e8e6d48760ab3b1e1f856a8190ae8cfebc8

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:bfe3247d1bfeef8cc5bb0bac73495eca1ea1bb9e7c4af80dc3cfb304602612a8

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=sha256:96fb8603c5ab3925c555dd610f0e53a711ee36e2b02c3a509783a8ef6f883750

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=sha256:2bf1c29f165656fdccf634cbfac6b37959abf573b17453408b159b3e01980f0b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:41:12.773215Z digest=sha256:98ede3a2c3389c7af6a86c53b7fdbbad1a026a9752c582caa901e629fa48968b

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:de8956d6a44d54c497c27b81f47c69336b9a6421105b434d6ff9b11778159463

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=sha256:65044ddde52fb4839cd2158e75a7d8ce9f973905fbdd95cf8e3ed0dd211cb45f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:41:12.797590Z digest=sha256:097cf98688321dca2d8225192090f1f0ea525d04aa2e6b720aadf46c1a03556e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:41:12.802725Z digest=sha256:d7b48d4087cc8ed3782b08f07c29d9a5d15401f0b9e14d2f993b1e667fb8d4f1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:41:12.809512Z digest=sha256:22671e5831de5eead4bcb39eb08404a6d7e3a54df2c46739799dbe7f3546fe74

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:41:12.816315Z digest=sha256:24fe12659e8e1a6ccf7126dcb1612ec8e6d4de6a5912b68455e50f5e95c80ffc

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:cba8f44a666b08bdb96516d6c5bcbad330c42fcfcbe7728335b29f19e60ad957

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:cc2c847ada39e6d0698f8cfa6f95dbf2e0823e08907ab3bd7dd80b957b0124ae

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:41:12.835610Z digest=sha256:f59eb74ab2a3d440223c37a6a0f41ccbd694511e642e9a7472000d319564e3a9

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:ad4ed56e1bf8b030b46d7f8ff9f19040884487e0630939b1a63930697c15f103

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:c6da10fdbcd34691db9ab4ea71f0fb9b4b637d37cc45eff2ca54bd6e9e46c381

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=sha256:7376775474a978aa59e6592ded4af05a8db0db6557d681453133db44b5f45497

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=sha256:6f0d0bdb83e83d3803e1edcd493f533250027633bb29ee7947ea5ce2b698d5f2

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=sha256:798c374940d3dc68682bbe47fe1428c1fdcacbfbf37e77056204b81c704d017e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:41:12.872013Z digest=sha256:e61cb53ce0ec944748c02e12cc4b6fb53ec8b5a118322ef5ee8816bc3b38dfc4

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:b521448f38f1aa42ff4318bf116f620ce8ccad5fd5a3b6496abd11ae2c60fd8e

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:f0089ac000319acacf7e4fbb9cac0c67996a6877bdd4eda2dd0ef8786fdffd1b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:41:12.891405Z digest=sha256:caf27c060128dc2226134915888c1bfa0f2225dc253c8b4b616d305317b5991e

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=sha256:3d1a27ac3e609d3b27457f9f72404b021f82ad051b1fe20034613d478ede6f57

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:ce1fc8311fcdf6b0420c954c7217e490424fa46bc123b5bd3458f42c44ba6b09

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=sha256:1577659416aad82fa06e9746c00d6cbd647330857df86c79d2d685ff753c23ec

Pith citing papers

No inbound Pith citation observations are available.