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Paper Citation Record · LEDGER

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration?

As of 23 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2505.20903.

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

pith.paper-citation-record.v1
2505.20903 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:51:14.341969Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

50 of 50 outbound references displayed

  • verified exact2
  • verified fuzzy2
  • unresolved46
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54e472b9-b67e-46d7-b224-6ad61b87fd74 · outbound

This paper cites GPT-4 Technical Report.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:08.979116Z digest=sha256:ecb9917ed08b8c3fae295cef53b93634eff7993fdcda3461801265965465cb5b

Observation 812385ab-2757-4276-9c1e-06bd6b4d3f0f · outbound

This paper cites A Survey on Data Selection for Language Models.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? A Survey on Data Selection for Language Models

Reference 2

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source=arxiv_source observed=2026-08-07T13:51:09.056728Z digest=sha256:26ae4b0a2c3765b3abb2014c1326b8ae6e9c09d931140b5eb5077d608d8eebd0

Observation 3379ad21-aa1d-4c0a-b3ef-f9b6ffefc453 · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 3

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raw_fallback, observed 2026-08-07T13:51:18.718971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:09.143516Z digest=sha256:a9479f48037433f31f5d92184e33e60a9d2acbf0134c84b306417f58fb6df25c

Observation e99aceda-5559-456e-bf82-40ce0e0d7c15 · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:09.214570Z digest=sha256:141d64b9ded7c415e0ffe8e29b5d51bd75017446427d6175d1f4e74956bff445

Observation de90cbd9-1d0c-4cd8-8a8c-1c3cc49a33c7 · outbound

This paper cites Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization

Reference 5

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local_arxiv, observed 2026-08-07T13:51:14.830914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:09.291687Z digest=sha256:aa91b2d830853585b5214be2f18e9e52d8833264a837872d26a3f15f07b6b56e

Observation 175b1961-bbbb-4ce1-acb1-7af33e27f879 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 6

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:09.396505Z digest=sha256:29d048cb9b9ef1e08527677aef9aa4795368edb9cf43b1581ba7f587058c9679

Observation 6d12f409-bc8a-4978-b46d-5557e511536f · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 7

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source=arxiv_source observed=2026-08-07T13:51:09.518626Z digest=sha256:fc58c9e42f59d0ac7906953fc055df9f65c90ef01067169a006e2cd293910d86

Observation c82dbf46-fe72-4a84-b186-9138b4d6f9da · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:09.657518Z digest=sha256:428a9ee5956c549c679aebe4bdc3c32e0bce8c6d34be5ee067aedf64de2822ad

Observation 2d06467e-7ae2-44e2-9df3-05218e6bbd7d · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:09.779230Z digest=sha256:41d831a599dff5d84a4eda7a5f61306f6ec3d12a75571fbacf889f97f2546951

Observation dfaabf00-13a2-4708-8f88-4c91022a859d · outbound

This paper cites Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 10

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source=arxiv_source observed=2026-08-07T13:51:09.948069Z digest=sha256:3bc66d647972dba0f448b7b35484115ea95b177bc6d15c673cf19afb82ae80e7

Observation 2ead701b-505c-4681-a27b-d8a8d51c974d · outbound

This paper cites Weinberger.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Weinberger

Reference 11

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:10.141309Z digest=sha256:7c413204b440b04ce8a6caccfd535af4d43e93599befe60f7ce278993d87a5f4

Observation 0f98f816-0bbc-49e5-96e6-7c563a29131f · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:10.337058Z digest=sha256:1f0fba50b10fe4e056fbba7be6a75787a2783cf08fbe9f35c9dffb7d654a05e5

Observation 08a2cb96-4848-4ee7-8e09-445ddd4f1652 · outbound

This paper cites Don't Stop Pretraining: Adapt Language Models to Domains and Tasks.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

Reference 13

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:10.550146Z digest=sha256:dd7fe312a5efb22cdc8a1705bc2882bd0e3329b0d09814257bc3051d5b24af71

Observation 25af22f5-e656-4c55-b15c-d81fd7089b12 · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 14

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verified exact
doi, observed 2026-08-07T13:51:14.529290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:10.747597Z digest=sha256:9afdcda9f3ab62ddb13c08b687ba8fd5da016ddfd36b12578247fb2baed85406

Observation 79f751fe-a254-483f-9979-1a033f546478 · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 15

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:10.887166Z digest=sha256:f2aafe04b9ac11e272bee7f593213b2162a6c8a6c6113ef81d5d4aa9c5182edf

Observation 41b8fb0e-1696-4034-bcd2-6456b8dbfcf9 · outbound

This paper cites Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 16

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source=arxiv_source observed=2026-08-07T13:51:11.000913Z digest=sha256:820c90f6bc78bf93fe28e831a3bbcb0400d40217414211ce794898386470e295

Observation e12c99d5-243b-44ac-b85d-666205740a8d · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 17

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raw_fallback, observed 2026-08-07T13:51:17.457409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:11.149300Z digest=sha256:e6573e54f9052c6fe9881e169a018a440751870688708b5476763ba1a6b013dc

Observation c0bfeeb7-bbd4-4a89-a6c5-28b949708792 · outbound

This paper cites MathPrompter: Mathematical Reasoning using Large Language Models.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? MathPrompter: Mathematical Reasoning using Large Language Models

Reference 18

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no resolver link, observed 2026-08-07T13:51:11.303922Z

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source=arxiv_source observed=2026-08-07T13:51:11.303922Z digest=sha256:8c4e906b51859167ee06ea615e989e02da9ac0859ca5ee86822aece1444f25eb

Observation cda68eb6-0ee7-4bd8-8449-7038dbe71fa3 · outbound

This paper cites Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks

Reference 19

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source=arxiv_source observed=2026-08-07T13:51:11.432002Z digest=sha256:d9a9ea3906b3d3164bbeb37c7113560ef6f53795981d8a819689d0cf94506570

Observation 6a1312db-1656-4876-94e1-74295215f7ea · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:11.542161Z digest=sha256:3980f76b98702bc0fd6f8d00bac6d300a58b6fe30e08251dfb494e33c0e36f75

Observation 55473a06-0c3f-47eb-a467-b41352102aa3 · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-08-07T13:51:11.644185Z digest=sha256:6aa9ec98b6c981529d0c1cd96d54f13cd277db3c96dadef3085d20ce5f0e3ad1

Observation a94713b5-8ffd-4561-8abe-81e759ab144c · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:11.750066Z digest=sha256:29649afa93ecb34c94d1511b3c0c1c644c41653540eedb7b5e636393f6813267

Observation 4d29f40e-51c6-4335-b360-f8a946ccc58c · outbound

This paper cites LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses

Reference 23

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source=arxiv_source observed=2026-08-07T13:51:11.841464Z digest=sha256:d140fbc6ec70db33c33d859940868d2ea027dae98e3b2e5a77d4194c2a2a4140

Observation 1aa68052-a102-4428-9b25-e99982a4a814 · outbound

This paper cites Fine-Tuning is Fine, if Calibrated.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Fine-Tuning is Fine, if Calibrated

Reference 24

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no resolver link, observed 2026-08-07T13:51:11.964261Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:11.964261Z digest=sha256:764aeb1f702e45197e206bf8f427c6a3b1e9b76f82d6f0d86acaf21a6e462889

Observation b9bda029-bb55-4145-afa8-fecd8bf026d0 · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 25

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:12.085462Z digest=sha256:edc06da02de72709fa8bd7fba4604868cf8619f42e040efee8f915731e601d20

Observation deb4e3f3-b37b-4def-9e44-bb5418a54fe7 · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 26

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:12.155768Z digest=sha256:9335dc96401f79cd71cd87a03c9dd2707b220d162128efb97982bbe112464194

Observation d4995d8a-ff39-410b-8920-5371ba151e4b · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 27

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:12.217078Z digest=sha256:7cf7e05e1076a5686a149811b2c567abbd72150c6eb1fc239b4332ad2efa8e36

Observation c2e29b8f-97d4-4a16-a4f1-1c05cd2cc103 · outbound

This paper cites Regularizing Neural Networks by Penalizing Confident Output Distributions.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 28

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:12.325196Z digest=sha256:a4f404fabd4204502eb68fa120e0adf7e05335b7fc378c51ed44ebe01498c917

Observation 4f4f3f85-7459-439d-ae14-82c4542dbd26 · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 29

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no resolver link, observed 2026-08-07T13:51:12.429514Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:12.429514Z digest=sha256:f12fb38b490ec09cab0703c19b236350313bdb03f6c864f60af360bcc870d74e

Observation 82153da4-8435-4372-83f1-675a112f3c3b · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 30

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raw_fallback, observed 2026-08-07T13:51:16.817855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:12.487209Z digest=sha256:0b3c3a1c722c97c7effef7e4f25dfabf1ee87d296cb3695b3befccb16999f375

Observation 72aad774-d7ce-45a1-ac44-efd77d45db46 · outbound

This paper cites Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes

Reference 31

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no resolver link, observed 2026-08-07T13:51:12.560960Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:12.560960Z digest=sha256:781efd6db4828eafe4045685decbd557a8b46b78d8812ac094c2c77921373300

Observation 12576635-f91a-4a4f-9475-6f495a25b7b2 · outbound

This paper cites Thermometer: Towards Universal Calibration for Large Language Models.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Thermometer: Towards Universal Calibration for Large Language Models

Reference 32

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no resolver link, observed 2026-08-07T13:51:12.698057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:12.698057Z digest=sha256:2971cb883b25ec44cdca72ceeeb10df9c57676baf56a4f3aac8c9252361052ff

Observation dd9d3501-4338-42c2-9a40-000fe3cfd09c · outbound

This paper cites Continual Learning of Large Language Models: A Comprehensive Survey.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Continual Learning of Large Language Models: A Comprehensive Survey

Reference 33

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no resolver link, observed 2026-08-07T13:51:12.793920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:12.793920Z digest=sha256:4038b880663fa366a9356740b8a9a41a11f40ea8fd6df9ddcf1e1f55ab069d45

Observation 95d79d3d-1059-4128-9014-d38c4f19339c · outbound

This paper cites Smith, and Yejin Choi.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Smith, and Yejin Choi

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-07T13:51:16.581830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:12.870193Z digest=sha256:544414b5a1a062da6d67f48595801c1920a225df661715f66a9fac138f75de9d

Observation ca0bafcf-e474-4148-90a5-4398c9522622 · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 35

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no resolver link, observed 2026-08-07T13:51:12.946900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:12.946900Z digest=sha256:140e1f2cb2944e11b0ccf173f726df0b4b1bb2d99f840f03265d4244605d39bb

Observation 46421ec0-025a-4cc1-8277-c198f98746e8 · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 36

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unresolved
raw_fallback, observed 2026-08-07T13:51:16.390318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:13.081711Z digest=sha256:1a9e1fa8e432dad2b09594dc67d36607d0455c7b28d05c1a13dc329480106a9f

Observation eeb2f9c9-1d8b-4d98-876d-02aaa2786185 · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 37

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raw_fallback, observed 2026-08-07T13:51:16.209648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:13.185176Z digest=sha256:b99b40401d65de6d248354c876b9fdd24c5c7119743f7bde3396488474698402

Observation 50f7d7d8-9c3c-4bf6-8483-98fa9df5ab88 · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:51:15.971728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:13.241715Z digest=sha256:e51a0cfddd21f1d852fcaf7d0c63df1683978ccfa1a9ad324b6e109dd44d14a1

Observation 31bb8e23-f2f5-439f-a1bb-59d36c41abf7 · outbound

This paper cites Bayesian Low-rank Adaptation for Large Language Models.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Bayesian Low-rank Adaptation for Large Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T13:51:13.308617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:13.308617Z digest=sha256:99fa8c686e1583214b202d9266319d533151cde1a98b2c2dab110d18427f1c26

Observation 718a5181-663b-4f9e-ba8d-dd71098b83ff · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:51:15.828365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:13.362264Z digest=sha256:d9a07d588a054d82c267e00433575443cf17decbf4e6d96603744a6e7cc33b79

Observation 74af4a10-7860-4784-9df8-b571d285419b · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T13:51:13.483983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:13.483983Z digest=sha256:b14dd226e8705919c061b2dc5b8e02ea817fc9d06baba9ba7db180aa04c0047d

Observation d0d6f09e-bc36-4086-b1fd-89f44d00bed4 · outbound

This paper cites Cohen, Ruslan Salakhutdinov, and Christopher D.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Cohen, Ruslan Salakhutdinov, and Christopher D

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T13:51:13.565743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:13.565743Z digest=sha256:8ea69c63939300800f380b4d2e5e0aad7a546cfd08eac75c72703ad7db9f580a

Observation 2a2be890-a764-4488-b57b-288f2b6f10ae · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:51:15.586376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:13.644516Z digest=sha256:2c5e7818b58d30961ad2850498fda11d04a49fea52eb3fdbd3cb78f4863930c9

Observation 4d25fef6-09c6-404a-aae9-e242bedfbca8 · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:51:15.333396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:13.742388Z digest=sha256:2d447f21e80c4a685ab5c691a3e2ecc1272102d5dbb524032c3256fdebea0aaf

Observation c67f2b2d-64a1-4bb2-8c10-be4a637f5c63 · outbound

This paper cites On the Calibration of Large Language Models and Alignment.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? On the Calibration of Large Language Models and Alignment

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T13:51:13.884549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:13.884549Z digest=sha256:0a76a138fd060c9423dd8754692e7c14cde1de48a5c6ce00fadc141d36c57f0b

Observation 8c7ae217-90f7-4e96-9f5d-e0e455848c52 · outbound

This paper cites an unresolved cited work.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:51:15.102201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T13:51:13.973221Z digest=sha256:7db4b9876d588ccd59d53b06267447e6043ab022fcdfaa7aab1899252fd52264

Observation 493c2e19-e94a-464a-b276-834d97a4b91b · outbound

This paper cites online" 'onlinestring :=.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? online" 'onlinestring :=

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T13:51:14.042346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:14.042346Z digest=sha256:02ae6a0a16ec36d53d37db7e1f965d6dec279d9ecb702fdc724ee15cdb65b85c

Observation a2644420-07ac-4ae1-af3a-cd32e95ee0fb · outbound

This paper cites write newline.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? write newline

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T13:51:14.159904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:14.159904Z digest=sha256:bfdfad8e502f603384682dda82f0952ddda03775db70cc4e0111f03eb3657d76

Observation 60921e9c-7b8c-4e20-b0b7-00c4f224bdd5 · outbound

This paper cites URL: " 'urlintro :=.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? URL: " 'urlintro :=

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T13:51:14.255953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:14.255953Z digest=sha256:aa505ed8f939e61ce400c0f640f5e7d87c8c07a28ca3273384980517df071d11

Observation b3def8e3-3840-4886-8b79-041affa56490 · outbound

This paper cites write newline.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? write newline

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T13:51:14.341969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:14.341969Z digest=sha256:f8276cc075a2ac46910aadf5b1c309d9f621cfb4377eb5b4a521389c4cf82855

Pith citing papers

No inbound Pith citation observations are available.