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Paper Citation Record · LEDGER

Improving Fairness of Large Language Models in Multi-document Summarization

As of 11 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 2026-08-10T06:31:04.303077+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=sha256:3bd12591136ea813a667443bc6bc1a93b29c19153e4d22480645a25a2dff6512

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=sha256:391f764840848978cb0fd2516150507ff84424ec2f2a3b34827ba6a8b8b3f2bc

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=sha256:25b42323b650eae9677a961392922a2d53c7e868b96e0ae7385b810038b91fbb

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=sha256:44e01bc669068c4ccb0b66ddd2673d1e453d86c099c190a6a4485980a1c641d4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:41:12.773215Z digest=sha256:efaacf23947c8afe7ce96e97858e42ed6fbbc5a91d68c373ea86b67954436a8f

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=sha256:23518025054095412e9e4916ea7f4e7baf48400466c01707bd649babd5d704f6

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=sha256:0fecdc899e9a0865376c6d1b6c2b1c9722519385aa454d857dc6ed13cfd39c50

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:41:12.797590Z digest=sha256:13a1d10a825728ceeeebc0cc6512133ab7d3a8c1ae695ad6b853b2f7c96b50a2

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:41:12.802725Z digest=sha256:8bafbb4831e1d849982ca4d609b78c015b22216161c01b81fee98c4265d107c5

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:41:12.809512Z digest=sha256:18245788b58fcb4e85c46beb017460fd550fdbfffd45e7a1b3a3e637b3b16817

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:41:12.816315Z digest=sha256:00e9f49516f980cad75c30e2659392c03e37ceeea2853f4a56c802bfab33c332

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:bba1c5e8924195cb3353138df7dbecd7fe35e53825180a4fea5ec34d729961f6

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=sha256:8dd16b87f38e1080c92a7518654aa0c535ed16e2cf64e63991c1cf514bb629a8

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:41:12.835610Z digest=sha256:fbd90cd1f9d933af8fa2ef1a0aa4149275b798adce19422c8b529478e05f3336

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:d83942e21183acb756958524f837ef25799750688a3c9fcb64a580f8a8c840a0

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:fd9a66bc0e22ab1f5fcf277ca4a65348d67545b10f8ec2a4a99d2408092b64a2

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=sha256:140886fbdad5514bea733cf92f74d1996bceaf2887c237307634c5f0363df8a1

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=sha256:31e9ae1f83d6e6e3c35fc7722aa0363bb7251575d2e6b33a7f119d41d943c6b2

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=sha256:232694a13fe8e6c8224a5a54a8279a5fff815137a630755e22c941ce5764fb97

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:41:12.872013Z digest=sha256:7e72a5251948380e181bb8ec135148b5acf4d5004a12dd151609cbc24c2219c3

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:bb68d57cb693609a4ac138809ae2f563625d8034d4b82e645b3753476d74f01a

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=sha256:4ebece04cf645bdcbd9dd1f4fde9b36599e9874e867b9fee91d48613be40ab20

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:41:12.891405Z digest=sha256:90013727ad13fc6b219571285f9b9c426b3e0c673dce008f3b6f980ff0e81d57

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:c2c4d89f21aa67b01381e8448cf14da65790649d48cdfac659a076ff2a823732

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=sha256:1956fba1cccf96a3fefe6765ddc635edcd97849eb818cb52733629da0191d5c0

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:aee69497f72016666ad8f3988a76010abfe77f6db926fb38a14faa4ef55c605a

Pith citing papers

No inbound Pith citation observations are available.